Publications

Further information: http://bib.dbvis.de/

2017
D. Jäckle, F. Stoffel, S. Mittelstädt, D. A. Keim and H. Reiterer.
Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts.
Proc. Int. Conference on Information Visualization Theory and Applications, to appear, 2017.
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M. Stein, H. Janetzko, D. Seebacher, A. Jäger, M. Nagel, J. Hölsch, S. Kosub, T. Schreck, D. A. Keim and M. Grossniklaus.
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects.
Data, Special Issue Geospatial Data, 2(1):2, DOI: 10.3390/data2010002, 2017.
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2016
F. Fischer.
Visual Analytics for Situational Awareness in Cyber Security.
2016.
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M. El-Assady, V. Gold, W. Jentner, M. Butt, K. Holzinger and D. A. Keim.
VisArgue – A Visual Text Analytics Framework for the Study of Deliberative Communication.
Proceedings of The International Conference on the Advances in Computational Analysis of Political Text (PolText2016), University of Zagreb, pages 31–36, 2016.
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C. Schulz, A. Nocaj, M. El-Assady, S. Frey, M. Hlawatsch, M. Hund, G. Karch, R. Netzel, C. Schätzle, M. Butt, D. A. Keim, T. Ertl, U. Brandes and D. Weiskopf.
Generative Data Models for Validation and Evaluation of Visualization Techniques.
BELIV ’16: Beyond Time And Errors: Novel Evaluation Methods For Visualization, DOI: 10.1145/2993901.2993907, 2016.
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N. Cao, Y. Wu, D. Gotz, D. A. Keim and Y.-P. Tan.
Visual Analytics in Multimedia – Opportunities and Research Challenges.
Special Issue IEEE Transactions on Multimedia, to appear, 2016.
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W. Jentner, G. Ellis, F. Stoffel, D. Sacha and D. A. Keim.
A Visual Analytics Approach for Crime Signature Generation and Exploration.
The Event Event: Temporal & Sequential Event Analysis, IEEE VIS 2016 Workshop, to appear, 2016.
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M. Stein, H. Janetzko, A. Lamprecht, D. Seebacher, T. Schreck, D. A. Keim and M. Grossniklaus.
From Game Events to Team Tactics: Visual Analysis of Dangerous Situations in Multi-Match Data.
2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW), pages 1-9, DOI: 10.1109/TISHW.2016.7847777, 2016.
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Y. Wu, N. Cao, D. Gotz, Y.-P. Tan and D. A. Keim.
A Survey on Visual Analytics of Social Media Data.
IEEE Transactions on Multimedia, IEEE, to appear, 2016.
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G. Schneider, M. El-Assady and H. M. Lehmann.
Tools and Methods for Processing and Visualizing Large Corpora.
Studies in Variation, Contacts and Change in English, VARIENG Helsinki, 2016.
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M. El-Assady, V. Gold, M. John, T. Ertl and D. A. Keim.
Visual Text Analytics in Context of Digital Humanities.
Published at the 1st IEEE VIS Workshop on Visualization for the Digital Humanities as part of the IEEE VIS 2016, October 24th, 2016, Baltimore, Maryland, USA, 2016.
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W. Jentner, M. El-Assady, D. Sacha, D. Jäckle and F. Stoffel.
Dynamite: Dynamic Monitoring Interface for Task Ensembles.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1) (Award – Notable Support for Streaming Analysis), 2016.
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P. Wiener, M. Stein, D. Seebacher, J. Bruns, M. Frank, V. Simko, S. Zander and J. Nimis.
BigGIS: A Continuous Refinement Approach to Master Heterogeneity and Uncertainty in Spatio-Temporal Big Data (Vision Paper).
24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), DOI: 10.1145/2996913.2996931, 2016.
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A. Jäger, S. Mittelstädt, D. Oelke, S. Sander, A. Platz, G. Bouwmann and D. A. Keim.
Lessons on Combining Topology and Geography – Visual Analytics for Electrical Outage Management.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 978-3-03868-016-1(), DOI: 10.2312/eurova.20161116 , 2016.
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J. Buchmüller, M. Stein, A. Jäger, S. Schmidt, H. Senaratne and H. Janetzko.
Fusing Events, Tasks and Spatial Awareness in an Ambient-Enabled Work Environment.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1), 2016.
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M. Hund, I. Färber, M. Behrisch, A. Tatu, T. Schreck, D. A. Keim and T. Seidl.
Visual Quality Assessment of Subspace Clusterings.
KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA’16), 2016.
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L. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran and D. A. Keim.
Guiding the exploration of scatter plot data using motif-based interest measures (Journal).
Journal of Visual Languages & Computing , 36():1 – 12, DOI: http://dx.doi.org/10.1016/j.jvlc.2016.07.003, 2016.
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M. Behrisch, B. Bach, M. Hund, L. von Rüden, M. Delz, J.-D. Fekete and T. Schreck.
Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration.
IEEE Transactions on Visualization and Computer Graphics, PP(99):1-1, DOI: 10.1109/TVCG.2016.2598467, to appear, 2016.
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D. Sacha, L. Zhang, M. Sedlmair, J. A. Lee, J. Peltonen, D. Weiskopf, S. C. North and D. A. Keim.
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 23(01):241-250, DOI: 10.1109/TVCG.2016.2598495, 2016.
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B. Schneider, S. Mittelstädt and D. A. Keim.
When Individual Data Points Matter: Interactively Analysing Classification Landscapes.
Eurographics Conference on Visualization (Poster paper), pages 013-015, DOI: 10.2312/eurp.20161130, 2016.
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H. Senaratne, A. Mobasheri, A. Loai Ali, C. Capineri and M. Haklay.
A review of volunteered geographic information quality assessment methods.
International Journal of Geographical Information Science, Taylor & Francis, DOI: 10.1080/13658816.2016.1189556, 2016.
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M. Hund, D. Böhm, W. Sturm, M. Sedlmair, T. Schreck, T. Ullrich, D. A. Keim, L. Majnaric and A. Holzinger.
Visual Analytics for Concept Exploration in Subspaces of Patient Groups.
Brain Informatics, 3(4):233-247, DOI: 10.1007/s40708-016-0043-5, 2016.
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M. El-Assady, V. Gold, C. Acevedo, C. Collins and D. A. Keim.
ConToVi: Multi-Party Conversation Exploration using Topic-Space Views.
Computer Graphics Forum, DOI: 10.1111/cgf.12919, 2016.
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M. Butt, G. Heyer, K. Holzinger, C. Kantner, D. A. Keim, J. Kuhn, G. Schaal, A. Blessing, S. Dumm, M. El-Assady, V. Gold, M. Lemke, M. Müller, A. Niekler, M. Overbeck and G. Wiedemann.
Argumentanalyse in digitalen Textkorpora.
Digital Humanities im deutschsprachigen Raum, 2016.
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M. Stein, H. Janetzko, T. Breitkreutz, D. Seebacher, T. Schreck, M. Grossniklaus, I. Couzin and D. A. Keim.
Director’s Cut: Analysis and Annotation of Soccer Matches.
IEEE Computer Graphics and Applications, 36(5):50-60, DOI: 10.1109/MCG.2016.102, 2016.
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J. Buchmüller, D. Jäckle, F. Stoffel and D. A. Keim.
SpaceCuts: Making Room for Visualizations on Maps.
Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20161163, 2016.
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D. Seebacher, M. Stein, H. Janetzko and D. A. Keim.
Patent Retrieval: A Multi-Modal Visual Analytics Approach.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, pages 013-017, DOI: 10.2312/eurova.20161118, 2016.
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D. Sacha, I. Boesecke, J. Fuchs and D. A. Keim.
Analytic Behavior and Trust Building in Visual Analytics.
Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20161176, 2016.
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L. Fellner, C. Huptas, S. Simon, A. Mühlig, S. Scherer and K. Neuhaus.
Draft Genome Sequences of Three European Laboratory Derivatives from Enterohemorrhagic Escherichia coli O157:H7 Strain EDL933, Including Two Plasmids.
Genome Announcements, 4(2):e01331-15, DOI: 10.1128/genomeA.01331-15, 2016.
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J. Fuchs, P. Isenberg, A. Bezerianos and D. A. Keim.
A Systematic Review of Experimental Studies on Data Glyphs.
IEEE Transactions on Visualization and Computer Graphics, PP(99):1-1, DOI: 10.1109/TVCG.2016.2549018, 2016.
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C. Schätzle and D. Sacha.
Visualizing Language Change: Dative Subjects in Icelandic.
Proceedings of the LREC 2016 Workshop VisLR II: Visualization as added value in the development, use and evaluation of Language Resources, to appear, 2016.
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M. Behrisch, B. Bach, N. Henry Riche, T. Schreck and J.-D. Fekete.
Matrix Reordering Methods for Table and Network Visualization.
Computer Graphics Forum, DOI: 10.1111/cgf.12935, 2016.
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J. Teutschbein, S. Simon, J. Lother, J. Springer, P. Hortschansky, C. O. Morton, J. Löffler, H. Einsele, E. Conneally, T. R. Rogers, R. Guthke, A. A. Brakhage and O. Kniemeyer.
Proteomic profiling of serological responses to Aspergillus fumigatus antigens in patients with invasive aspergillosis.
Journal of Proteome Research, DOI: 10.1021/acs.jproteome.6b00042, 2016.
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Y. Asano, M. Gubian and D. Sacha.
Cutting down on manual pitch contour annotation using data modeling.
Proceedings of the 8th International Conference on Speech Prosody, Boston, USA., DOI: 10.21437/SpeechProsody.2016, 2016.
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D. Sacha, M. Sedlmair, L. Zhang, J. A. Lee, D. Weiskopf, S. C. North and D. A. Keim.
Human-Centered Machine Learning Through Interactive Visualization: Review and Open Challenges.
Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2016.
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J. Fuchs, D. Jäckle, N. Weiler and T. Schreck.
Leaf Glyphs: Story Telling and Data Analysis Using Environmental Data Glyph Metaphors.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers, Springer International Publishing, pages 123-143, DOI: 10.1007/978-3-319-29971-6_7, 2016.
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K. Neuhaus, R. Landstorfer, L. Fellner, S. Simon, A. Schafferhans, T. Goldberg, H. Marx, O. N. Ozoline, B. Rost, B. Kuster, D. A. Keim and S. Scherer.
Translatomics combined with transcriptomics and proteomics reveals novel functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC).
BMC Genomics, 17(1):1-16, DOI: 10.1186/s12864-016-2456-1, 2016.
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L. Shao, S. Mittelstädt, R. Goldblatt, I. Omer, P. Bak and T. Schreck.
StreetExplorer: Visual Exploration of Feature-based Patterns in Urban Street Networks.
Proc. Int. Conference on Information Visualization Theory and Applications, to appear, 2016.
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H. Janetzko, M. Stein, D. Sacha and T. Schreck.
Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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L. Zhang, C. Rooney, L. Nachmanson, W. Wong, B. C. Kwon, F. Stoffel, M. Hund, N. Qazi, U. Singh and D. A. Keim.
Spherical Similarity Explorer for Comparative Case Analysis.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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D. Jäckle, J. Fuchs and D. A. Keim.
Star Glyph Insets for Overview Preservation of Multivariate Data.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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L. Shao, D. Sacha, B. Neldner, M. Stein and T. Schreck.
Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
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H. Strobelt, D. Oelke, B. C. Kwon, T. Schreck and H. Pfister.
Guidelines for Effective Usage of Text Highlighting Techniques.
IEEE Transactions on Visualization and Computer Graphics, 20(01), DOI: 10.1109/TVCG.2015.2467759, to appear, 2016.
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D. Sacha, H. Senaratne, B. C. Kwon, G. Ellis and D. A. Keim.
The Role of Uncertainty, Awareness, and Trust in Visual Analytics.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 22(01):240-249, DOI: 10.1109/TVCG.2015.2467591, 2016.
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D. Jäckle, F. Fischer, T. Schreck and D. A. Keim.
Temporal MDS Plots for Analysis of Multivariate Data.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2015), 22(01), DOI: 10.1109/TVCG.2015.2467553, 2016.
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2015
M. Bayer and M. El-Assady.
Dialogue or Monologues – The Effect of Topic Divergence on Negotiation Results.
European Consortium for Political Research, 2015.
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V. Gold, M. El-Assady, T. Bögel, M. Butt, K. Holzinger, D. A. Keim and C. Rohrdantz.
Visual Linguistic Analysis of Political Discussions: Measuring Deliberative Quality.
Digital Scholarship in the Humanities, The Oxford University Press, ISSN 2055-7671. – eISSN 2055-768X(), DOI: 10.1093/llc/fqv033, 2015.
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J. Fuchs.
Glyph Design for Temporal and Multi-Dimensional Data : Design Considerations and Evaluation.
2015.
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S. Mittelstädt.
Methods for Effective Color Encoding and the Compensation of Contrast Effects.
2015.
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S. Simon.
Visual Analysis of RNAseq Data : Discovering Genes in Bacteria.
2015.
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L. Fellner, S. Simon, C. Scherling, M. Witting, S. Schober, C. Polte, P. Schmitt-Kopplin, D. A. Keim, S. Scherer and K. Neuhaus.
Evidence for the recent origin of a bacterial protein-coding, overlapping orphan gene by evolutionary overprinting.
BMC Evolutionary Biology, 15(1):1-14, DOI: 10.1186/s12862-015-0558-z, 2015.
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S. Simon, S. Mittelstädt, B. C. Kwon, A. Stoffel, R. Landstorfer, K. Neuhaus, A. Mühlig, S. Scherer and D. A. Keim.
VisExpress: Visual exploration of differential gene expression data.
Information Visualization, SAGE, DOI: 10.1177/1473871615612883, 2015.
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F. Wanner, W. Jentner, T. Schreck, A. Stoffel, L. Sharalieva and D. A. Keim.
Integrated visual analysis of patterns in time series and text data – Workflow and application to financial data analysis.
Information Visualization, DOI: 10.1177/1473871615576925, 2015.
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L. von Rüden, M.-A. Hermanns, M. Behrisch, D. A. Keim, B. Mohr and F. Wolf.
Separating the Wheat from the Chaff: Identifying Relevant and Similar Performance Data with Visual Analytics.
Proceedings of the 2nd Workshop on Visual Performance Analysis, ACM, pages 4:1–4:8, DOI: 10.1145/2835238.2835242, 2015.
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G. Ellis and A. Dix.
Decision Making Under Uncertainty in Visualisation?.
IEEE workshop on Visualization for decision making under uncertainty, 2015.
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J. Buchmüller, F. Fischer, D. Streeb and D. A. Keim.
Using Visual Analytics to Provide Situation Awareness for Movement and Communication Data.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2015 GC), DOI: 10.1109/VAST.2015.7347640, 2015.
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D. Streeb, U. Schlegel, J. Buchmüller, F. Fischer and D. A. Keim.
Using Visual Analytics to Analyze Movement and Action Patterns.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2015 MC1), DOI: 10.1109/VAST.2015.7347665, 2015.
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B. Schneider, C. Acevedo, J. Buchmüller, F. Fischer and D. A. Keim.
Visual Analytics for Inspecting the Evolution of a Graph over Time: Pattern Discovery in a Communication Network.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2015 MC2), DOI: 10.1109/VAST.2015.7347664, 2015.
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E. Cakmak, A. Gärtner, T. Hepp, J. Buchmüller, F. Fischer and D. A. Keim.
Applying Visual Analytics to Explore and Analyze Movement Data.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2015 MC1), DOI: 10.1109/VAST.2015.7347643, 2015.
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A. Dix and G. Ellis.
The Alan Walks Wales Dataset: Quantified self and open data.
Open Data as Open Educational Resources: Case Studies of Emerging Practice, figshare, pages 57-68, DOI: 10.6084/m9.figshare.1590031, 2015.
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L. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran and D. A. Keim.
Guiding the Exploration of Scatter Plot Data Using Motif-based Interest Measures.
IEEE Int. Symposium on Big Data Visual Analytics (Best Paper Award), DOI: 10.1109/BDVA.2015.7314294, 2015.
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M. Stein, J. Häußler, D. Jäckle, H. Janetzko, T. Schreck and D. A. Keim.
Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction.
ISPRS International Journal of Geo-Information, Special Issue Advances in Spatio-Temporal Data Analysis and Mining , DOI: 10.3390/ijgi4042159, 2015.
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F. Stoffel, D. Sacha, G. Ellis and D. A. Keim.
VAPD – A Visionary System for Uncertainty Aware Decision Making in Crime Analysis.
Symposium on Visualization for Decision Making Under Uncertainty at IEEE VIS 2015, 2015.
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F. Stoffel, L. Flekova, D. Oelke, I. Gurevych and D. A. Keim.
Feature-Based Visual Exploration of Text Classification.
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015, 2015.
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M. Hund, M. Behrisch, I. Färber, M. Sedlmair, T. Schreck, T. Seidl and D. A. Keim.
Subspace Nearest Neighbor Search – Problem Statement, Approaches, and Discussion.
Similarity Search and Applications, Springer International Publishing, pages 307-313, DOI: 10.1007/978-3-319-25087-8_29, 2015.
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D. Jäckle, B. C. Kwon and D. A. Keim.
Off-Screen Visualization Perspectives: Tasks and Challenges.
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015, 2015.
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M. Hund, W. Sturm, T. Schreck, T. Ullrich, D. A. Keim, L. Majnaric and A. Holzinger.
Analysis of Patient Groups and Immunization Results Based on Subspace Clustering.
Brain Informatics and Health, Springer International Publishing, pages 358-368, DOI: 10.1007/978-3-319-23344-4_35, 2015.
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B. C. Kwon, J. Choo, S.-H. Kim, D. A. Keim, H. Park and J. S. Yi.
Opinion Marks: A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web.
KDD Workshop on Interactive Data Exploration and Analytics, 2015.
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M. Behrisch, L. Shao, J. Buchmüller and T. Schreck.
Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix.
Eurographics Conference on Visualization (poster paper), 2015.
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V. Gold, C. Rohrdantz and M. El-Assady.
Exploratory Text Analysis using Lexical Episode Plots.
Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20151130, 2015.
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A. Andreadis, R. Gregor, I. Sipiran, P. Mavridis, G. Papaioannou and T. Schreck.
Fractured 3D Object Restoration and Completion.
SIGGRAPH Poster, 2015.
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M. Steiger, J. Bernard, S. Mittelstädt, S. Thum, M. Hutter, D. A. Keim and J. Kohlhammer.
Explorative Analysis of 2D Color Maps.
International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, ISSN 2464-4617, ISBN 978-80-86943-65-7, Eurographics Assciation, Vaclav Skala – Union Agency, pages 151-160, 2015.
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D. Spretke, M. Stein, L. Sharalieva, A. Warta, V. Licht, T. Schreck and D. A. Keim.
Visual Analysis of Car Fleet Trajectories to Find Representative Routes for Automotive Research.
19th International Conference on Information Visualization Workshop GeoVisual Analytics, DOI: 10.1109/iV.2015.63, 2015.
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R. Gregor, A. Lamprecht, I. Sipiran, T. Schreck and B. Bustos.
Empirical evaluation of dissimilarity measures for 3D object retrieval with application to multi-feature retrieval.
Proc. 13th International Workshop on Content-Based Multimedia Indexing (CBMI’15), 2015.
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M. Wagner, F. Fischer, R. Luh, A. Haberson, A. Rind, D. A. Keim and W. Aigner.
A Survey of Visualization Systems for Malware Analysis.
Eurographics Conference on Visualization (EuroVis) – STARs, The Eurographics Association, DOI: 10.2312/eurovisstar.20151114, 2015.
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A. Godil, H Dutagaci, B. Bustos, S. Choi, S. Dong, T Furuya, H. Li, N. Link, A. Moriyama, R. Meruane, R. Ohbuchi, D. Paulus, T. Schreck, V. Seib, I. Sipiran, H. Yin and C. Zhang.
SHREC’15: Range Scans based 3D Shape Retrieval .
Eurographics Workshop on 3D Object Retrieval, Eurographics Association, 2015.
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I. Sipiran, B. Bustos, T. Schreck, A. Bronstein, S. Choi, L. Lai, H. Li, R. Litman and L. Sun.
SHREC’15: Scalability of Non-Rigid 3D Shape Retrieval.
Eurographics Workshop on 3D Object Retrieval, Eurographics Association, 2015.
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R. Gregor, D. Bauer, I. Sipiran, P. Perakis and T. Schreck.
Automatic 3D Object Fracturing for Evaluation of Partial Retrieval and Object Restoration Tasks – Benchmark and Application to 3D Cultural Heritage Data.
Eurographics Workshop on 3D Object Retrieval, Eurographics Association, 2015.
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D. Sacha, Y. Asano, C. Rohrdantz, F. Hamborg, D. A. Keim, B. Braun and M. Butt.
Self Organizing Maps for the Visual Analysis of Pitch Contours.
Proceedings of the 20th Nordic Conference of Computational Linguistics. Vilnius, Lithuania, ACL Anthology, 23():181-190, 2015.
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D. Jäckle, H. Senaratne, J. Buchmüller and D. A. Keim.
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, DOI: 10.2312/eurova.20151103, 2015.
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D. Jäckle, F. Stoffel, B. C. Kwon, D. Sacha, A. Stoffel and D. A. Keim.
Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization.
Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20151125, 2015.
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S. Simon, S. Mittelstädt, D. A. Keim and M. Sedlmair.
Bridging the gap of domain and visualization experts with a Liaison.
Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20151137, 2015.
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S. Mittelstädt, D. Jäckle, F. Stoffel and D. A. Keim.
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks.
Eurographics Conference on Visualization (EuroVis) – Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20151135, 2015.
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J. Buchmüller, H. Janetzko, G. Andrienko, N. Andrienko, G. Fuchs and D. A. Keim.
Visual Analytics for Exploring Local Impact of Air Traffic.
Eurographics Conference on Visualization (EuroVis 2015), DOI: 10.1111/cgf.12630, 2015.
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S. Mittelstädt and D. A. Keim.
Efficient Contrast Effect Compensation with Personalized Perception Models.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., 34(3):211-220, DOI: 10.1111/cgf.12633, 2015.
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J. Fuchs, D. Jäckle, N. Weiler and T. Schreck.
Leaf Glyph – Visualizing Multi-Dimensional Data with Environmental Cues.
Proc. Int. Conference on Information Visualization Theory and Applications, 2015.
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J. Twellmeyer, M. Hutter, M. Behrisch, J. Kohlhammer and T. Schreck.
The Visual Exploration of Aggregate Similarity for Multi-Dimensional Clustering.
Proc. Int. Conference on Information Visualization Theory and Applications, 2015.
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J. Bernard, M. Steiger, S. Mittelstädt, S. Thum, D. A. Keim and J. Kohlhammer.
A survey and task-based quality assessment of static 2D color maps.
In Proceedings of SPIE 9397, Visualization and Data Analysis, DOI: 10.1117/12.2079841, 2015.
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K. Vrotsou, H. Janetzko, C. Navarra, G. Fuchs, D. Spretke, F. Mansmann, N. Andrienko and G. Andrienko.
SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories.
IEEE Transactions on Visualization and Computer Graphics, 21(1):107-121, DOI: 10.1109/TVCG.2014.2337333, 2015.
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S. Mittelstädt, X. Wang, T. Eaglin, D. Thom, D. A. Keim, W. Tolone and W. Ribarsky.
An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures.
IEEE 48th Annual Hawaii International Conference on System Sciences (nominated for Best Paper Award), DOI: 10.1109/HICSS.2015.136, 2015.
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2014
F. Stoffel and F. Fischer.
Using a Knowledge Graph Data Structure to Analyze Text Documents.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 MC1), DOI: 10.1109/VAST.2014.7042551, 2014.
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J. Bernard, D. Daberkow, D. Fellner, K. Fischer, O. Koepler, J. Kohlhammer, M. Runnwerth, T. Ruppert, T. Schreck and I. Sens.
VisInfo: a digital library system for time series research data based on exploratory search – a user-centered design approach.
International Journal on Digital Libraries (Published online first), Springer, 2014.
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M. Behrisch, L. Shao, B. C. Kwon, T. Schreck, I. Sipiran and D. A. Keim.
Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot Matrix.
Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014.
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J. Bernard, D. Sessler, M. Behrisch, M. Hutter, T. Schreck and J. Kohlhammer.
Towards a User-Defined Visual-Interactive Definition of Similarity Functions for Mixed Data.
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, pages 227-228, DOI: 10.1109/VAST.2014.7042503, 2014.
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F. Fischer and F. Stoffel.
NStreamAware: Real-Time Visual Analytics for Data Streams (VAST Challenge 2014).
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 MC3), DOI: 10.1109/VAST.2014.7042572, 2014.
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F. Fischer, F. Stoffel, S. Mittelstädt, T. Schreck and D. A. Keim.
Using Visual Analytics to Support Decision Making to Solve the Kronos Incident.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 GC), DOI: 10.1109/VAST.2014.7042537, 2014.
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J. Fuchs, P. Isenberg, A. Bezerianos, F. Fischer and E. Bertini.
The Influence of Contour on Similarity Perception of Star Glyphs.
Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE, 20():2251 – 2260, DOI: 10.1109/TVCG.2014.2346426, 2014.
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B. C. Kwon, F. Stoffel, D. Jäckle, B. Lee and D. A. Keim.
VisJockey: Enriching Data Stories through Orchestrated Visualization.
Computation+Journalism, 2014.
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S. Biasotti, I. Pratikakis, U. Castellani and T. Schreck.
Preface to Special Issue on EG Workshop on 3D Object Retrieval 2013.
Springer Visual Computer, 2014.
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D. Perez, L. Zhang, M. Schaefer, T. Schreck, D. A. Keim and I. Diaz.
Interactive Feature Space Extension for Multidimensional Data Projection.
Neurocomputing, 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, Q Chen, N Chowdhury, B Fang, H Fu, T Furuya, H. Li, J Liu, H Johan, R Kosaka, H Koyanagi, R Ohbuchi, A Tatsuma, Y. Wan, C. Zhang and C Zou.
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries.
Elsevier Computer Vision and Image Understanding, DOI: http://dx.doi.org/10.1016/j.cviu.2014.10.006, 2014.
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D. Sacha, H. Senaratne, B. C. Kwon and D. A. Keim.
Uncertainty Propagation and Trust Building in Visual Analytics.
Accepted at IEEE VIS 2014 – Provenance for Sensemaking Workshop (poster paper), 2014.
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H. Senaratne, A. Broering, T. Schreck and D. Lehle.
Moving on Twitter: Using Episodic Hotspot and Drift Analysis to Detect and Characterise Spatial Trajectories.
In Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks. (best student paper award) ACM, 2014.
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M. El-Assady, W. Jentner, M. Stein, F. Fischer, T. Schreck and D. A. Keim.
Predictive Visual Analytics – Approaches for Movie Ratings and Discussion of Open Research Challenges.
Proceedings of the IEEE VIS 2014 Workshop Visualization for Predictive Analytics, 2014.
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F. Fischer and D. A. Keim.
NStreamAware: Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness.
Proceedings of the Eleventh Workshop on Visualization for Cyber Security, DOI: 10.1145/2671491.2671495, 2014.
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L. Shao, M. Behrisch, T. Schreck, I. Sipiran, B. C. Kwon and D. A. Keim.
Identifying Locally Interesting Motifs for Exploration of Scatter Plot Matrices.
Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014.
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C. Schätzle, D. Sacha and M. Butt.
Diachronic Visualization of Oblique Subjects in Icelandic.
Workshop Poster: Big Data Visual Computing – Quantitative Perspectives for Visual Computing, 2014.
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H. Suominen, T. Schreck, G. Leroy, H. Hochheiser, L. Goeuriot, L. Kelly, D. Mowery, J. Nualart, G. Ferraro and D. A. Keim.
Task 1 of the CLEF eHealth Evaluation Lab 2014: Visual-Interactive Search and Exploration of eHealth Data.
CLEF 2014 Working Notes, CEUR Workshop Proceedings, 2014.
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L. Kelly, L. Goeuriot, H. Suominen, T. Schreck, G. Leroy, D. Mowery, S. Velupillai, W. Chapman, D. Martinez, G. Zuccon and J. Palotti.
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014.
Proc. Conference and Labs of the Evaluation Forum (CLEF), Springer, 2014.
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R. Gregor, I. Sipiran, G. Papaioannou, T. Schreck, A. Andreadis and P. Mavridis.
Towards Automated 3D Reconstruction of Cultural Heritage Objects.
Proc. EUROGRAPHICS Workshop on Graphics and Cultural Heritage, DOI: 10.2312/gch.20141311, 2014.
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I. Sipiran, R. Gregor and T. Schreck.
Approximate Symmetry Detection in Partial 3D Meshes.
Computer Graphics Forum, 33(7):131-140, DOI: 10.1111/cgf.12481, 2014.
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S. Mittelstädt, A. Stoffel, T. Schreck and D. A. Keim.
Analysis of Local Data Patterns by Local Adaptive Color Mapping.
Presented at IEEE Information Visualization (InfoVis 2014, Poster Paper), 2014.
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H. Senaratne, S. Mittelstädt, C. Jacob and T. Schreck.
Uncertainty Visualization for Crisis Management in Smart Grid Environments.
Eighth International Conference on Geographic Information Science (GIScience 2014) – Workshop on Visually Supported Reasoning with Uncertainty, 2014.
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H. Janetzko, D. Jäckle and T. Schreck.
Geo-Temporal Visual Analysis of Customer Feedback Data Based on Self-Organizing Sentiment Maps.
International Journal On Advances in Intelligent Systems, International Academy, Research, and Industry Association (IARIA), 7(1 and 2):237–246, 2014.
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F. Wanner, A. Stoffel, D. Jäckle, B. C. Kwon, A. Weiler and D. A. Keim.
State-of-the-Art Report of Visual Analysis for Event Detection in Text Data Streams.
EuroVis – STARs, Eurographics Association, pages 125-139, DOI: 10.2312/eurovisstar.20141176, 2014.
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D. Sacha, A. Stoffel, F. Stoffel, B. C. Kwon, G. Ellis and D. A. Keim.
Knowledge Generation Model for Visual Analytics.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2014), 20(12):1604 – 1613 , DOI: 10.1109/TVCG.2014.2346481, 2014.
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H. Janetzko, D. Sacha, M. Stein, T. Schreck, D. A. Keim and O. Deussen.
Feature-Driven Visual Analytics of Soccer Data.
Proceedings of the 2014 IEEE Symposium on Visual Analytics Science and Technology (VAST ’14), DOI: 10.1109/VAST.2014.7042477, 2014.
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M. Behrisch, F. Korkmaz, L. Shao and T. Schreck.
Feedback-Driven Interactive Exploration of Large Multidimensional Data Supported by Visual Classifier.
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, IEEE CS Press, pages 43-52, DOI: 10.1109/VAST.2014.7042480, 2014.
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J. C. Roberts, D. A. Keim, T. Hanratty, R. R. Rowlingson, R. Walker, M. Hall, Z. Jacobson, V. Lavigne, C. Rooney and M. Varga.
From Ill-Defined Problems to Informed Decisions.
EuroVis Workshop on Visual Analytics (2014), 2014.
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I. Sipiran, R. Meruane, B. Bustos, T. Schreck, B Li, Y. Lu and H Johan.
A benchmark of simulated range images for partial shape retrieval.
The Visual Computer, Springer, 30(11):1293-1308, DOI: 10.1007/s00371-014-0937-2, 2014.
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F. Fischer, J. Davey, J. Fuchs, O. Thonnard, J. Kohlhammer and D. A. Keim.
A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications.
Proc. EuroVA International Workshop on Visual Analytics, DOI: 10.2312/eurova.20141144, 2014.
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F. Stoffel, D. Jäckle and D. A. Keim.
Enhanced News-reading: Interactive and Visual Integration of Social Media Information.
LREC 2014 Workshop VisLR: Visualization as added value in the development, use and evaluation of Language Resources, 2014.
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R. Landstorfer, S. Simon, S. Schober, D. A. Keim, S. Scherer and K. Neuhaus.
Comparison of strand-specific transcriptomes of enterohemorrhagic Escherichia coli O157:H7 EDL933 (EHEC) under eleven different environmental conditions including radish sprouts and cattle feces.
BMC Genomics, 15(1):353, DOI: 10.1186/1471-2164-15-353, 2014.
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S. Mittelstädt, J. Bernard, T. Schreck, M. Steiger, J. Kohlhammer and D. A. Keim.
Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis.
In Proceedings of the Eurographics Conference on Visualization (EuroVis 2014, Short Paper), The Eurographics Association, pages 91-95, DOI: 10.2312/eurovisshort.20141163, 2014.
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M. Steiger, J. Bernard, S. Mittelstädt, H. Lücke-Tieke, D. A. Keim, T. May and J. Kohlhammer.
Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks.
Computer Graphics Forum, 33(3):401-410, DOI: 10.1111/cgf.12396, 2014.
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R. Chang, D. Ebert and D. A. Keim.
Introduction to the Special Issue on Interactive Computational Visual Analytics.
ACM TIIS Journal, 2014.
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M. Butt, T. Bögel, K. Kotcheva, C. Schätzle, C. Rohrdantz, D. Sacha, N. Dehe and D. A. Keim.
V1 in Icelandic: A multifactorical visualization of historical data.
Proceedings of the LREC 2014 Workshop VisLR: Visualization as added value in the development, use and evaluation of Language Resources, pages 33-40, 2014.
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D. Oelke, H. Strobelt, C. Rohrdantz, I. Gurevych and O. Deussen.
Comparative Exploration of Document Collections: a Visual Analytics Approach.
Computer Graphics Forum, John Wiley & Sons, Ltd, 33(3):201-210, DOI: 10.1111/cgf.12376, 2014.
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L. Shao, M. Behrisch, T. Schreck, T. von Landesberger, M. Scherer, S. Bremm and D. A. Keim.
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces.
Proc. EuroVA International Workshop on Visual Analytics, The Eurographics Association, DOI: 10.2312/eurova.20141140, 2014.
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M. Behrisch, J. Davey, F. Fischer, O. Thonnard, T. Schreck, D. A. Keim and J. Kohlhammer.
Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom.
Eurographics Conference on Visualization (EuroVis 2014), The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd., pages 411–420, DOI: 10.1111/cgf.12397, 2014.
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S. Mittelstädt, A. Stoffel and D. A. Keim.
Methods for Compensating Contrast Effects in Information Visualization.
Computer Graphics Forum, 33(3):231-240, DOI: 10.1111/cgf.12379, 2014.
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S. Mittelstädt, M. C. Hao, U. Dayal, M. Hsu, J. Terdiman and D. A. Keim.
Advanced Visual Analytics Interfaces for Adverse Drug Event Detection.
In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI 2014), ACM, DOI: 10.1145/2598153.2598156, 2014.
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T. Mayer, B. Wälchli, M. Hund and C. Rohrdantz.
From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets.
Language Processing and Grammars. The role of functionally oriented computational models, John Benjamins, DOI: 10.1075/slcs.150.02may, 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, H Fu, T Furuya, H Johan, J Liu, R Ohbuchi, A Tatsuma and C Zou.
SHREC’14 track: Extended large scale sketch-based 3d shape retrieval.
Proc. EG Workshop on 3D Object Retrieval, 2014 (to appear), 2014.
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B Li, Y. Lu, C Li, A. Godil, T. Schreck, M. Aono, Q Chen, N Chowdhury, B Fang, T Furuya, H Johan, R Kosaka, H Koyanagi, R Ohbuchi and A Tatsuma.
SHREC’14 track: Comprehensive 3d shape retrieval.
Proc. EG Workshop on 3D Object Retrieval (to appear), 2014.
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S. Yoon, G Yoon and T. Schreck.
User-drawn sketch-based 3D object retrieval using sparse coding.
Springer Multimedia Tools and Applications, 2014.
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B Li, Y. Lu, A. Godil, T. Schreck, B. Bustos, A. Ferreira, T Furuya, M Fonseca, H Johan, T Matsuda, R Ohbuchi, P Pascoal and J. Saavedra.
A comparison of methods for sketch-based 3D shape retrieval.
Elsevier Computer Vision and Image Understanding, DOI: 10.1016/j.cviu.2013.11.008, 2014.
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C. Rohrdantz.
Visual Analytics of Change in Natural Language.
2014.
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F. Wanner, T. Schreck, W. Jentner, L. Sharalieva and D. A. Keim.
Relating interesting quantitative time series patterns with text events and text features (Best Paper Award).
IS&T/SPIE Electronic Imaging, pages 90170G–90170G, DOI: 10.1117/12.2039639, 2014.
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J. Fuchs, R. Rädle, D. Sacha, F. Fischer and A. Stoffel.
Collaborative Data Analysis with Smart Tangible Devices.
SPIE 2013 Conference on Visualization and Data Analysis, IS&T/SPIE, pages 90170C, DOI: 10.1117/12.2040011, 2014.
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F. Benites, S. Simon and E. Sapozhnikova.
Mining Rare Associations between Biological Ontologies .
PLoS ONE, Public Library of Science, 9(1):e84475, DOI: 10.1371/journal.pone.0084475, 2014.
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H. Janetzko, D. Jäckle, O. Deussen and D. A. Keim.
Visual Abstraction of Complex Motion Patterns.
SPIE 2014 Conference on Visualization and Data Analysis (VDA 2014), Best Paper Award, IS&T/SPIE, pages 90170J-0-90170J-12, 2014.
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H. Janetzko, F. Stoffel, S. Mittelstädt and D. A. Keim.
Anomaly Detection for Visual Analytics of Power Consumption Data.
Computer & Graphics, Elsevier, 38(0):27-37, DOI: 10.1016/j.cag.2013.10.006, 2014.
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L. Fellner, N. Bechtel, M. A. Witting, S. Simon, P. Schmitt-Kopplin, D. A. Keim, S. Scherer and K. Neuhaus.
Phenotype of htgA (mbiA), a recently evolved orphan gene of Escherichia coli and Shigella, completely overlapping in antisense to yaaW.
FEMS Microbiology Letters, 350(1):57–64, DOI: 10.1111/1574-6968.12288, 2014.
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C. Rohrdantz, F. Mansmann, C. North and D. A. Keim.
Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls.
Information Visualization, SAGE, 13(4):313-325, DOI: 10.1177/1473871613481693, 2014.
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2013
S. Kisilevich, D. A. Keim and L. Rokach.
A GIS-based decision support system for hotel room rate estimation and temporal price prediction : The hotel brokers’ context.
Decision Support Systems, 54(2):1119–1133, DOI: 10.1016/j.dss.2012.10.038, 2013.
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M. Krstajic and D. A. Keim.
Visualization of streaming data: Observing change and context in information visualization techniques.
Big Data, 2013 IEEE International Conference on, IEEE, pages 41-47, DOI: 10.1109/BigData.2013.6691713, 2013.
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M. Krstajic, M. Najm-Araghi, F. Mansmann and D. A. Keim.
Story Tracker: Incremental visual text analytics of news story development.
Information Visualization, SAGE, 12(3-4):308-323, DOI: 10.1177/1473871613493996, 2013.
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S. Mittelstädt, D. Spretke, D. Thom, D. Jäckle, A. Karsten and D. A. Keim.
Situational Awareness for Critical Infrastructures and Decision Support.
In Proceedings of the NATO STO IST-116 Symposium on Visual Analytics, 2013.
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F. Fischer and D. A. Keim.
VACS: Visual Analytics Suite for Cyber Security – Visual Exploration of Cyber Security Datasets.
VAST Challenge 2013 – Honorable Mention, 2013.
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M. El-Assady, D. Hafner, M. Hund, A. Jäger, W. Jentner, C. Rohrdantz, F. Fischer, S. Simon, T. Schreck and D. A. Keim.
Visual Analytics for the Prediction of Movie Rating and Box Office Performance.
VAST Challenge 2013 – Award for Effective Analytics, 2013.
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F. Al-Masoudi, D. Seebacher, M. Schreiner, M. Stein, C. Rohrdantz, F. Fischer, S. Simon, T. Schreck and D. A. Keim.
Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results.
VAST Challenge 2013 – Award for Effective Visualization, 2013.
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A. Lamprecht, A. Hautli, C. Rohrdantz and T. Bögel.
A Visual Analytics System for Cluster Exploration.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 109-114, 2013.
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T. Mayer and C. Rohrdantz.
PhonMatrix: Visualizing co-occurrence constraints of sounds.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 73-78, 2013.
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G. Andrienko, N. Andrienko, P. Bak, D. A. Keim and S. Wrobel.
Visual Analytics of Movement.
Springer, 2013.
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D. A. Keim, H. Qu and K.-L. Ma.
Big-Data Visualization.
IEEE Computer Graphics and Applications, 2013.
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F. Stoffel, F. Fischer and D. A. Keim.
Finding Anomalies in Time-Series using Visual Correlation for Interactive Root Cause Analysis.
Proceedings of the VizSec Symposium on Visualization for Cyber Security, DOI: 10.1145/2517957.2517966, 2013.
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F. Fischer, D. Jäckle, D. Sacha, F. Stoffel and D. A. Keim.
Adaptive User-Aware Dashboard Design.
VAST Challenge 2013 – Honorable Mention, 2013.
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M. Chen, J. Heinrich, J. Kennedy, A. Kerren, F. Schreiber, S. Simon, C. Stolte, C. Vehlow, M. Westenberg and B. Wong.
Uncertainty Visualization.
Chapter in Biological Data Visualization (Dagstuhl Seminar 12372). Dagstuhl Reports, Volume 2, Issue 9, Chapter 4.6, pages 154-155. Editors: Carsten Görg and Lawrence Hunter and Jessie Kennedy and Sean O’Donoghue and Jarke J. van Wijk, DOI: 10.4230/DagRep.2.9.131, 2013.
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J. Aerts, J.-F. Fontaine, M. Lappe, R. Machiraju, C. Nielsen, A. Schafferhans, S. Simon, M. O. Ward and J. J. van Wijk.
Sequence Data Visualization.
Chapter in Biological Data Visualization (Dagstuhl Seminar 12372). Dagstuhl Reports, Volume 2, Issue 9, Chapter 4.2, pages 143-148. Editors: Carsten Görg and Lawrence Hunter and Jessie Kennedy and Sean O’Donoghue and Jarke J. van Wijk, DOI: 10.4230/DagRep.2.9.131, 2013.
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A. Tatu.
Visual Analytics of Patterns in High-Dimensional Data.
2013.
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H. Janetzko, D. Jäckle and T. Schreck.
Comparative visual analysis of large customer feedback based on self-organizing sentiment maps.
Proc. International Conference on Advances in Information Mining and Management, Best Paper Award, 2013.
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J. Bernard, N. Wilhelm, B. Krüger, T. May, T. Schreck and J. Kohlhammer.
MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation.
Transactions on Visualization and Computer Graphics (Proc. VAST), 2013.
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A. Weiler, M. H. Scholl, F. Wanner and C. Rohrdantz.
Event Identification for Local Areas using Social Media Streaming Data.
Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2013, New York, NY, USA, June, 23, 2013, DOI: http://dx.doi.org/10.1145/2484702.2484703, 2013.
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M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug, M. Hsu and F. Stoffel.
Visual sentiment analysis of customer feedback streams using geo-temporal term associations.
Information Visualization, SAGE Publications, 12(3-4):273-290, DOI: 10.1177/1473871613481691, 2013.
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F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim.
BANKSAFE: Visual analytics for big data in large-scale computer networks.
Information Visualization, SAGE Publications, DOI: 10.1177/1473871613488572, 2013.
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B. Hammer, D. A. Keim, N. Lawrence and G. Lebanon.
Preface: Intelligent interactive data visualization.
Data Mining and Knowledge Discovery Journal, 2013.
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F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim.
Visual Analytics zur Firewall-Konfiguration und Analyse von Netzwerkverkehr.
Informationssicherheit stärken – Vertrauen in die Zukunft schaffen: Tagungsband zum 13. Deutschen IT-Sicherheitskongress, SecuMedia Verlag, Gau-Algesheim, pages 273-283, 2013.
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D. Perez, L. Zhang, M. Schaefer, T. Schreck, D. A. Keim and I. Diaz.
Interactive Visualization and Feature Transformation for Multidimensional Data Projection.
Proc. EuroVis Workshop on Visual Analytics Using Multidimensional Projections, 2013.
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S. Mittelstädt, D. Spretke, D. Sacha, D. A. Keim, B. Heyder and J. Kopp.
Visual Analytics for Critical Infrastructures.
In Proceedings of the International ETG-Congress 2013; Symposium 1: Security in Critical Infrastructures Today, VDE, pages 1-8, 2013.
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D. A. Keim, M. Krstajic, C. Rohrdantz and T. Schreck.
Real-time Visual Analytics of Text Data Streams.
Computer, IEEE Computer Society, 46(7):47-55, DOI: http://dx.doi.org/10.1109/MC.2013.152, 2013.
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M. Behrisch, J. Davey, S. Simon, T. Schreck, D. A. Keim and J. Kohlhammer.
Visual Comparison of Orderings and Rankings.
EuroVis Workshop on Visual Analytics, The Eurographics Association, DOI: 10.2312/PE.EuroVAST.EuroVA13.007-011, 2013.
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M. Scherer, T. von Landesberger and T. Schreck.
Visual-interactive querying for multivariate research data repositories using bag-of-words.
ACM/IEEE Joint Conference on Digital Libraries, 2013.
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T. Schreck, I. Omer, P. Bak and Y. Lerman.
A visual analytics approach for assessing pedestrian friendliness of urban environments.
AGILE International Conference on Geographic Information Science, 2013.
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B Li, Y. Lu, A. Godil, T. Schreck, M. Aono, H. Johan and J. Saavedra.
SHREC13 track: Large scale sketch-based 3d shape retrieval.
Eurographics Workshop on 3D Object Retrieval, 2013.
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I. Sipiran, R. Meruane, B. Bustos, T. Schreck, H. Johan, B Li and Y. Lu.
SHREC13 track: Large-scale partial shape retrieval using simulated range images.
Eurographics Workshop on 3D Object Retrieval, 2013.
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I. Sipiran, B. Bustos and T. Schreck.
Data-aware 3d partitioning for generic shape retrieval.
Computers & Graphics Special Issue on 3D Object Retrieval, DOI: 10.1016/j.cag.2013.04.002, 2013.
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H. Senaratne, A. Broering and T. Schreck.
Assessing the credibility of VGI contributors based on metadata and reverse viewshed analysis – An experiment with geotagged Flickr images.
Proceedings of the 16th AGILE International Conference on Geographic Information Science, 2013.
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H. Senaratne, D. Reusser and T. Schreck.
Usability of Uncertainty Visualisation Methods: A Comparison between Different User Groups.
GeoViz Hamburg 2013: Workshop on Interactive Maps that Help People Think, 2013.
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D. Jäckle, H. Bosch, D. Thom, R. Krüger, D. A. Keim and T. Ertl.
Visual Analysis of Social Media Data in Emergency Situations by Aggregating Annotated User Movements.
10th International Conference on Information Systems for Crisis Response and Management (Poster), 2013.
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H. Senaratne, A. Broering and T. Schreck.
Using Reverse Viewshed Analysis to Assess the Location Correctness of Visually Generated VGI.
Transactions in GIS, Wiley-Blackwell, 17(3):369-386, 2013.
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T. von Landesberger, S. Bremm, T. Schreck and D. Fellner.
Feature-based Automatic Identification of Interesting Data Segments in Group Movement Data.
Information Visualization Journal, DOI: 10.1177/1473871613477851 , 2013.
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J. Fuchs, F. Fischer, F. Mansmann, E. Bertini and P. Isenberg.
Evaluation of Alternative Glyph Designs for Time Series Data in a Small Multiple Setting.
Proceedings of the Conference on Human Factors in Computing Systems (CHI), ACM, pages 3237-3246, DOI: 10.1145/2470654.2466443, 2013.
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H. Janetzko, M. C. Hao, S. Mittelstädt, U. Dayal and D. A. Keim.
Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading.
Proceedings of the 46th Annual Hawaii International Conference on System Sciences, IEEE Computer Society, pages 1522-1531, DOI: 10.1109/HICSS.2013.197, 2013.
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S. Chen, D. Amid, O. Shir, D. Boaz, L. Limonad, A. Anaby-Tavor and T. Schreck.
SOMMOS – Self-Organizing Maps for multi-objective Pareto frontiers.
Proc. IEEE Pacific Visualization, 2013.
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T. Schreck and D. A. Keim.
Visual Analysis of Social Media Data.
IEEE Computer, Special Issue on Cutting-Edge Research in Visualization. Published online first as early access article. , DOI: 10.1109/MC.2012.430, 2013.
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M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, M. Hund, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu.
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization.
In Proceedings of Visualization and Data Analysis, 8654():865404–865412, DOI: 10.1117/12.2002948, 2013.
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M. Schaefer, L. Zhang, T. Schreck, A. Tatu, J. A. Lee, M. Verleysen and D. A. Keim.
Improving projection-based data analysis by feature space transformations.
In Proceedings of VDA 2013, 2013.
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S. Kisilevich, C. Rohrdantz, M. Veronica and D. A. Keim.
What do you think about this photo? A novel approach to opinion and sentiment analysis of photo comments.
International Journal of Data Mining, Modelling and Management (IJDMMM) , 5(2):138-157, DOI: http://dx.doi.org/10.1504/IJDMMM.2013.053693, 2013.
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2012
F. Wanner, A. Weiler and T. Schreck.
Topic Tracker: Shape-based Visualization for Trend and Sentiment Tracking in Twitter.
Published at the 2nd IEEE Workshop on Interactive Visual Text Analytics “Task-Driven Analysis of Social Media” as part of the IEEE VisWeek 2012, October 15th, 2012, Seattle, Washington, USA, 2012.
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D. A. Keim.
Dagstuhl Manifesto.
Informatik-Spektrum, Springer-Verlag, 35(4):311-317, 2012.
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S. Simon, D. Oelke, R. Landstorfer, K. Neuhaus and D. A. Keim.
Visual Analysis of RNAseq Data to Detect Overlapping Genes in Bacterial Genomes.
Poster, VIZBI 2012, Heidelberg, Germany, 2012.
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S. Simon, D. Oelke, K. Neuhaus and D. A. Keim.
Visualization of the sensitivity of BLAST to changes in the parameter settings.
Poster at GCB 2012 – German Conference on Bioinformatics 2012, Jena, Germany (Poster), 2012.
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J. Hildenbrand, D.-I. Paval, P. Thapa, C. Rohrdantz, F. Mansmann, E. Bertini and T. Schreck.
VAST 2012 Mini-Challenge 2: Chart- and Matrix-based Approach to Network Operations Forensics.
Proc. IEEE Symposium on Visual Analytics Science and Technology, pages 287-288, DOI: http://dx.doi.org/10.1109/VAST.2012.6400513, 2012.
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L. Gerharz, H. Senaratne, C. Autermann, P. Truong, G. Heuvelink, M. Williams, E. Pebesma, C. Stasch and D. Conford.
Tools for Communicating and Visualising Uncertainties.
2012.
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S. Tekir, F. Mansmann and D. A. Keim.
Geodesic Distances for Clustering Linked Text Data.
Journal of Artificial Intelligence and Soft Computing Research, 2(4), 2012.
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D. Reusser, H. Senaratne, L. Gerharz, T Sterzel, T Nocke and M Wrobel.
User preferences for the presentation of uncertainties on web platforms for climate change information.
EGU2012. In proceeding of Geophysical Research Abstracts, 2012.
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H. Senaratne, L. Gerharz, E. Pebesma and A. Schwering.
Usability of Spatio-Temporal Uncertainty Visualisation Methods.
Proceedings of the 15th AGILE International Conference on Geographic Information Science – Bridging the Geographic Information Sciences, Springer, pages 3-23, DOI: 10.1007/978-3-642-29063-3_1, 2012.
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H. Strobelt, A. Stoffel, M. Spicker, D. A. Keim and O. Deussen.
Rolled-out Wordles: A Heuristic Method for Overlap Removal of 2D Data Representatives.
Comput. Graph. Forum, 31(3):1135-1144, 2012.
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J. Goodall, F. Mansmann and J. Gerth.
Computer Network Visualization (Guest Editorial).
IEEE Network, IEEE , 26(6):4-5, DOI: 10.1109/MNET.2012.6375886, 2012.
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M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu.
Exploring Cyber Physical Data Streams Using Radial Pixel Visualizations.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), Honorable Mention Award, DOI: 10.1109/VAST.2012.6400541, 2012.
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J. Krause, M. Spicker, L. Wörteler, L. Zhang, M. Schaefer and H. Strobelt.
Interactive Visualization for Real-time Public Transport Journey Planning.
In Proceedings of SIGRAD 2012, 2012.
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F. Mansmann, D. Spretke, H. Janetzko, B. Kranstauber and K. Safi.
Correlation-based Arrangement of Time Series for Movement Analysis in Behavioural Ecology.
Progress on Movement Analysis Workshop, Zurich, Switzerland, November 15-16, 2012.
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D. Luo, J. Yang, M. Krstajic, W. Ribarsky and D. A. Keim.
EventRiver: Visually Exploring Text Collections with Temporal References.
Transactions on Visualization and Computer Graphics, IEEE, 18(1):93-105, 2012.
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C. Rohrdantz, M. Krstajic, M. El-Assady and D. A. Keim.
What’s Going On? How Twitter and Online News Can Work in Synergy to Increase Situational Awareness.
Published at the 2nd IEEE Workshop on Interactive Visual Text Analytics ”Task-Driven Analysis of Social Media” as part of the IEEE VisWeek 2012, October 15th, 2012, Seattle, Washington, USA, 2012.
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M. Krstajic, C. Rohrdantz, M. Hund and A. Weiler.
Getting There First: Real-Time Detection of Real-World Incidents on Twitter.
Published at the 2nd IEEE Workshop on Interactive Visual Text Analytics ”Task-Driven Analysis of Social Media” as part of the IEEE VisWeek 2012, October 15th, 2012, Seattle, Washington, USA, 2012.
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F. Fischer, J. Fuchs, F. Mansmann and D. A. Keim.
BANKSAFE: A Visual Situational Awareness Tool for Large-Scale Computer Networks (VAST Challenge 2012).
Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2012), pages 257-258, DOI: 10.1109/VAST.2012.6400528, 2012.
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F. Fischer, J. Fuchs, P.-A. Vervier, F. Mansmann and O. Thonnard.
VisTracer: A Visual Analytics Tool to Investigate Routing Anomalies in Traceroutes.
Proceedings of the VizSec Symposium on Visualization for Cyber Security, ACM, DOI: 10.1145/2379690.2379701, 2012.
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E. Biersack, Q. Jacquemart, F. Fischer, J. Fuchs, O. Thonnard, G. Theodoridis, D. Tzovaras and P.-A. Vervier.
Visual analytics for BGP monitoring and prefix hijacking identification.
Special Issue on Computer Network Visualization, IEEE Network Magazine, DOI: 10.1109/MNET.2012.6375891, 2012.
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M. C. Hao, M. Marwah, H. Janetzko, U. Dayal, D. A. Keim, D. Patnaik, N. Ramakrishnan and R. K. Sharma.
Visual exploration of frequent patterns in multivariate time series.
Information Visualization (IVS), Palgrave Macmillan, 11(1):71–83, DOI: 10.1177/1473871611430769, 2012.
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F. Mansmann, T. Göbel and W. Cheswick.
Visual Analysis of Complex Firewall Configurations.
Proceedings of the VizSec Symposium on Visualization for Cyber Security, ACM, 2012.
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D. A. Keim, L. Zhang, M. Krstajic and S. Simon.
Solving Problems with Visual Analytics: Challenges and Applications.
Journal of Multimedia Processing and Technologies, Special Issue on Theory and Application of Visual Analytics, 3(1):1-11, 2012.
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L. Zhang, J. Kuljis and X. Liu.
Visualization of High Throughput Biological Data.
Proceedings of 34th International Conference on Information Technology Interfaces, ITI 2012, pages 163-168, 2012.
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M. Behrisch, J. Davey, T. Schreck, J. Kohlhammer and D. A. Keim.
Matrix-Based Visual Correlation Analysis on Large Timeseries Data.
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, pages 209-210, DOI: 10.1109/VAST.2012.6400549, 2012.
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T. von Landesberger, S. Bremm, T. Schreck and D. Fellner.
Feature-based visual analysis of interesting data segments in large group movement data.
GIScience workshop on GeoVisual Analytics (Extended abstract), 2012.
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L. Zhang, A. Stoffel, M. Behrisch, S. Mittelstädt, T. Schreck, R. Pompl, S. Weber, H. Last and D. A. Keim.
Visual analytics for the big data era – a comparative review of state-of-the-art commercial systems.
Proceedings of IEEE Symposium on Visual Analytics Science and Technology, DOI: 10.1109/VAST.2012.6400554, 2012.
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A. Ferreira, H. Laga, T. Schreck and R. Veltkamp.
Preface to special issue on EG Workshop on 3D Object Retrieval 2011.
Springer Visual Computer, Special Issue on 3DOR 2011, DOI: 10.1007/s00371-012-0747-3, 2012.
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T. Schreck, L. Sharalieva, F. Wanner, J. Bernard, T. Ruppert, T. von Landesberger and B. Bustos.
Visual Exploration of Local Interest Points in Sets of Time Series.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), 2012.
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A. Tatu, F. Maaß, I. Färber, E. Bertini, T. Schreck, T. Seidl and D. A. Keim.
Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data.
Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST), IEEE CS Press, pages 63-72, 2012.
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A. Tatu, L. Zhang, E. Bertini, T. Schreck, D. A. Keim, S. Bremm and T. von Landesberger.
ClustNails: Visual Analysis of Subspace Clusters.
Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics, 17(4):419-428, 2012.
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T. von Landesberger, T. Schreck, D. Fellner and J. Kohlhammer.
Visual Search and Analysis in Complex Information Spaces – Approaches and Research Challenges.
Expanding the Frontiers of Visual Analytics and Visualization (Ed. J. Dill and R. Earnshaw and D. Kasik and J. Vince and P. Wong), Springer, pages 45-68, 2012.
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J. Bernard, J Wilhelm, M. Scherer, T. May and T. Schreck.
TimeSeriesPaths: Projection-Based Explorative Analysis of Multivariate Time Series Data.
Proc. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2012.
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M. Scherer, T. von Landesberger and T. Schreck.
A Benchmark for Content-Based Retrieval in Bivariate Data Collections.
Proc. Int. Conference on Theory and Practice of Digital Libraries, 2012.
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J. Bernard, T. Ruppert, M. Scherer, T. Schreck and J. Kohlhammer.
Guided Discovery of Interesting Relationships Between Time-Series Clusters and Metadata Properties.
Proc. Int. Conference on Knowledge Management and Knowledge Technologies, Special Track on Theory and Applications of Visual Analytics, ACM ICPS, 2012.
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T. Schreck, M. Scherer, M. Walter, B. Bustos, S. Yoon and A. Kuijper.
Graph-based combinations of fragment descriptors for improved 3D Object Retrieval.
Proc. ACM Multimedia Systems Conference, pages 23–28, 2012.
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B Li, T. Schreck, B. Bustos, A. Godil, M Alexa, T Boubekeur, J Chen, M Eitz, T Furuya, K Hildebrand, S Huang, H Johan, A. Kuijper, R Ohbuchi, R Richter, J. Saavedra, M. Scherer, T Yanagimachi, G Yoon and S. Yoon.
SHREC’12 Track: Sketch-Based 3D Shape Retrieval.
Proc. EG Workshop on 3D Object Retrieval, Eurographics Association, pages 109-118, 2012.
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J. Saavedra, B. Bustos, T. Schreck, S. Yoon and M. Scherer.
Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation.
Proc. EG Workshop on 3D Object Retrieval (Short Paper), Eurographics Association, pages 47-50, 2012.
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J. Bernard, T. Ruppert, M. Scherer, J. Kohlhammer and T. Schreck.
Content-Based Layouts for Exploratory Metadata Search in Scientific Research Data.
Proc. ACM/IEEE Joint Conference on Digital Libraries, pages 139-148, 2012.
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S. Yoon, T. Schreck and G Yoon.
Sparse Coding Based Feature Optimization for Robust 3D Object Retrieval.
IET Electronics Letters, 48():493-495, 2012.
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M. Behrisch, M. Krstajic, T. Schreck and D. A. Keim.
The News Auditor: Visual Exploration of Clusters of Stories.
Proc. EuroVA International Workshop on Visual Analytics, Eurographics, pages 61-65, DOI: 10.2312/PE/EuroVAST/EuroVA12/061-065, 2012.
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M. Sedlmair, A. Tatu, T. Munzner and M. Tory.
A Taxonomy of Visual Cluster Separation Factors.
Computer Graphics Forum (Proc. EuroVis 2012), 31(3):1335-1344, 2012.
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A. Stoffel, L. Zhang, S. H. Weber and D. A. Keim.
AMPLIO VQA – A Web Based Visual Query Analysis System for Micro Grid Energy Mix Planning.
Proceedings of the International Workshop on Visual Analytics (EuroVA 2012), 2012.
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A. Stoffel, H. Strobelt, O. Deussen and D. A. Keim.
Document Thumbnails with Variable Text Scaling.
Computer Graphics Forum, 31(3):1165–1173, 2012.
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C. Rohrdantz, M. Hund, T. Mayer, B. Wälchli and D. A. Keim.
The World’s Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts.
Computer Graphic Forum (The definitive version is available at http://diglib.eg.org/ and http://onlinelibrary.wiley.com/), 31(3):935-944, DOI: http://dx.doi.org/10.1111/j.1467-8659.2012.03086.x, 2012.
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C. Rohrdantz, A. Niekler, A. Hautli, M. Butt and D. A. Keim.
Lexical Semantics and Distribution of Suffixes – A Visual Analysis.
Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH, 2012.
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D. Oelke, B. Geißelmann and D. A. Keim.
Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles.
Proceedings of the International Workshop on Visual Analytics (EuroVA 2012), 2012.
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J. Davey, F. Mansmann, J. Kohlhammer and D. A. Keim.
Visual Analytics: Towards Intelligent Interactive Internet and Security Solutions.
Future Internet – From Technological Promises to Reality, Springer, 2012.
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F. Fischer, J. Fuchs and F. Mansmann.
ClockMap: Enhancing Circular Treemaps with Temporal Glyphs for Time-Series Data.
Proceedings of the Eurographics Conference on Visualization (EuroVis 2012 Short Papers), pages 97-101, DOI: 10.2312/PE/EuroVisShort/EuroVisShort2012/097-101, 2012.
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S. Simon, R. Guthke, T. Kamradt and O. Frey.
Multivariate analysis of flow cytometric data using decision trees.
Frontiers in Microbiology, 3(00114), DOI: 10.3389/fmicb.2012.00114, 2012.
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F. Stoffel, H. Janetzko and F. Mansmann.
Proportions in Categorical and Geographic Data: Visualizing the Results of Political Elections.
Proceedings of the AVI 2012, May 21 – 25, Capri Island (Naples), Italy, ACM Press, DOI: 10.1145/2254556.2254644, 2012.
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D. Oelke, D. Kokkinakis and M. Malm.
Advanced Visual Analytics Methods for Literature Analysis.
Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), 2012.
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D. Oelke, A.-M. Eklund, S. Marinov and D. Kokkinakis.
Visual Analytics and the Language of Web Query Logs – A Terminology Perspective.
Accepted for publication in: Proceedings of the 15th EURALEX International Congress, 2012.
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F. Mansmann, M. Krstajic, F. Fischer and E. Bertini.
StreamSqueeze: A Dynamic Stream Visualization for Monitoring of Event Data.
Proceedings of Conference on Visualization and Data Analysis (VDA ’12), DOI: 10.1117/12.912372, 2012.
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C. Rohrdantz, M. C. Hao, U. Dayal, L.-E. Haug and D. A. Keim.
Feature-based Visual Sentiment Analysis of Text Document Streams.
ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Visual Interfaces for Text Analysis (© ACM, 2012. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistr), 3(2):26, DOI: http://dx.doi.org/10.1145/2089094.2089102, 2012.
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D. Oelke, D. Spretke, A. Stoffel and D. A. Keim.
Visual Readability Analysis: How to Make Your Writings Easier to Read.
IEEE Transactions on Visualization and Computer Graphics, 18(5):662-674, 2012.
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P. Rodgers, L. Zhang and H. Purchase.
Wellformedness Properties in Euler Diagrams: Which Should be Used?.
IEEE Transactions on Visualization and Computer Graphics, 18(7):1089-1100, DOI: 10.1109/TVCG.2011.143, 2012.
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M. Krstajic, M. Najm-Araghi, F. Mansmann and D. A. Keim.
Incremental Visual Text Analytics of News Story Development.
Proceedings of Conference on Visualization and Data Analysis (VDA ’12), 2012.
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M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug and M. Hsu.
Integrating Sentiment Analysis and Term Associations with Geo-Temporal Visualizations on Customer Feedback Streams.
SPIE 2012 Conference on Visualization and Data Analysis (VDA 2012), Best Paper Award, DOI: http://dx.doi.org/10.1117/12.912202, 2012.
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F. Mansmann, F. Fischer and D. A. Keim.
Dynamic Visual Analytics – Facing the Real-Time Challenge.
Expanding the Frontiers of Visual Analytics and Visualization, Springer, DOI: 10.1007/978-1-4471-2804-5_5, 2012.
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F. Fischer, F. Mansmann and D. A. Keim.
Real-Time Visual Analytics for Event Data Streams.
Proceedings of the 2012 ACM Symposium on Applied Computing (SAC 2012), ACM, DOI: 10.1145/2245276.2245432, 2012.
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B. Bustos, T. Schreck, M. Walter, J. M. Barrios, M. Schaefer and D. A. Keim.
Improving 3D Similarity Search by Enhancing and Combining 3D Descriptors.
Multimedia Tools and Applications, 2012.
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2011
V. Zerlina, B. C. Kwon, S.-H. Kim, K. Yehle, K. Plake, S. Kranz, L. Yahiro and J. S. Yi.
Food For The Heart: Visualizing Nutritional Contents for Food Items for Patients with Coronary Heart Disease.
Workshop on Visual Analytics in Healthcare (VAHC 2011) in conjunction with IEEE VisWeek 2011, IEEE, 2011.
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H. Bosch, D. Thom, M. Wörner, S. Koch, E. Püttmann, D. Jäckle and T. Ertl.
ScatterBlogs: Geo-spatial document analysis.
IEEE Conference on Visual Analytics Science and Technology (VAST), pages 309-310, DOI: 10.1109/VAST.2011.6102488, 2011.
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H. Senaratne and L. Gerharz.
An Assessment and Categorisation of Quantitative Uncertainty Visualisation Methods for Geospatial Data.
Proceedings of the 14th AGILE International Conference on Geographic Information Science (Poster Paper: best poster award), 2011.
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I. Pratikakis, T. Schreck, T. Theoharis and R. Veltkamp.
Preface to special issue on EG Workshop on 3D Object Retrieval 2010.
Springer Visual Computer, Special Issue on 3DOR 2010, 27():949-950, 2011.
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M. Daoudi and T. Schreck.
Event Report on Eurographics 2010 Workshop on 3D Object Retrieval.
Wiley-Blackwell Computer Graphics Forum, 1(30):229-230, 2011.
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J. Saavedra, B. Bustos, M. Scherer and T. Schreck.
STELA: Sketch-Based 3D Model Retrieval using a Structure-Based Local Approach.
Proc. ACM International Conference on Multimedia Retrieval (Poster Paper), pages 26:1–26:8, 2011.
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S. Bremm, T. von Landesberger, G. Andrienko, N. Andrienko and T. Schreck.
Interactive analysis of object group changes over time.
Proc. EuroVA International Workshop on Visual Analytics, pages 41 — 44, 2011.
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J. Bernard, T. von Landesberger, S. Bremm and T. Schreck.
Multiscale visual quality assessment for cluster analysis with Self-Organizing Maps.
Proc. IS&T/SPIE Conference on Visualization and Data Analysis, SPIE Press, pages 78680N.1 – 78680N.12, 2011.
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M. Scherer, J. Bernard and T. Schreck.
Retrieval and exploratory search in multivariate research data repositories using regressional features.
Proc. ACM/IEEE Joint Conference on Digital Libraries, pages 363–372, 2011.
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S. Bremm, T. von Landesberger, M Heß, T. Schreck, P Weil and K. Hamacher.
Interactive Comparison of Multiple Trees.
Proc. IEEE Conference on Visual Analytics Science and Technology, 2011.
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J. Bernard, J. Brase, D. Fellner, O. Koepler, J. Kohlhammer, T. Ruppert, T. Schreck and I. Sens.
A visual digital library approach for time-oriented scientific primary data.
Springer International Journal of Digital Libraries, ECDL 2010 Special Issue, 2011.
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S. Bremm, T. von Landesberger, J. Bernard and T. Schreck.
Assisted descriptor selection based on visual comparative data analysis.
Wiley-Blackwell Computer Graphics Forum, 30(3):891–900, 2011.
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T. von Landesberger, A. Kuijper, T. Schreck, J. Kohlhammer, J. van Wijk, J.-D. Fekete and D. Fellner.
Visual analysis of large graphs: State-of-the-art and future research challenges.
Wiley-Blackwell Computer Graphics Forum, 2011.
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A. Tatu, G. Albuquerque, M. Eisemann, P. Bak, H. Theisel, M. Magnor and D. A. Keim.
Automated Visual Analysis Methods for an Effective Exploration of High-Dimensional Data.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 17(5):pp. 584-597, 2011.
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S. Tekir, F. Mansmann and D. A. Keim.
Geodesic Distances for Web Document Clustering.
Proceedings of IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), IEEE, 2011.
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F. Wanner, J. Fuchs, D. Oelke and D. A. Keim.
Are my Children Old Enough to Read these Books? Age Suitability Analysis.
POLIBITS – Research journal on Computer science and computer engineering with applications, 2011.
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F. Wanner, T. Ramm and D. A. Keim.
ForAVis – Explorative User Forum Analysis.
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, pages 14:1–14:10, 2011.
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G. Stapleton, L. Zhang, J. Howse and P. Rodgers.
Drawing Euler Diagrams with Circles: The Theory of Piercings.
IEEE Transactions on Visualization and Computer Graphics, 17(7):1020-1032, 2011.
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G. Stapleton, P. Rodgers, J. Howse and L. Zhang.
Inductively Generating Euler Diagrams.
IEEE Transactions on Visualization and Computer Graphics, 16(1):88-100, 2011.
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D. Spretke, H. Janetzko, F. Mansmann, P. Bak, B. Kranstauber, S. Davidson and M. Mueller.
Exploration through Enrichment: A Visual Analytics Approach for Animal Movement.
Proceedings of the 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, pages 421–424, 2011.
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C. Rohrdantz, D. Oelke, M. Krstajic and F. Fischer.
Real-Time Visualization of Streaming Text Data: Tasks and Challenges (Best Paper Award).
Workshop on Interactive Visual Text Analytics for Decision-Making at the IEEE VisWeek 2011, 2011.
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M. Schaefer, F. Wanner, F. Mansmann, C. Scheible, V. Stennett, A. T. Hasselrot and D. A. Keim.
Visual Pattern Discovery in Timed Event Data.
Proceedings of Conference on Visualization and Data Analysis, SPIE, 2011.
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M. Schaefer, F. Wanner, R. Kahl, L. Zhang, T. Schreck and D. A. Keim.
A Novel Explorative Visualization Tool for Financial Time Series Data Analysis.
Proc. UKVAC Workshop on Visual Analytics, 2011.
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S. Simon, D. Oelke, R. Landstorfer, K. Neuhaus and D. A. Keim.
Visual Analysis of Next-Generation Sequencing Data to Detect Overlapping Genes in Bacterial Genomes.
Proceedings of IEEE Symposium on Biological Data Visualization, October 23 – 24, Providence, Rhode Island, USA, pages 47-54, DOI: 10.1109/BioVis.2011.6094047, 2011.
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D. Oelke, H. Janetzko, S. Simon, K. Neuhaus and D. A. Keim.
Visual Boosting in Pixel-based Visualizations.
Computer Graphics Forum, 30(3):871-880, DOI: 10.1111/j.1467-8659.2011.01936.x, 2011.
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C. Rohrdantz, A. Hautli, T. Mayer, M. Butt, F. Plank and D. A. Keim.
Towards Tracking Semantic Change by Visual Analytics.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (Short Papers), Association for Computational Linguistics, pages 305–310, 2011.
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F. Mansmann, D. Spretke and H. Janetzko.
Lessons Learned from Tool Development for Animal Movement Analysis.
Poster Proc. 1st IEEE Symposium on Biological Data Visualization (IEEE BioVis), Poster Paper, 2011.
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T. Mayer, C. Rohrdantz, F. Plank, M. Butt and D. A. Keim.
A Quantitative Approach to the Contrast and Stability of Sounds.
QITL-4 4th Conference on Quantitative Investigations in Theoretical Linguistics, pages 59-64, 2011.
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J. Kohlhammer, D. A. Keim, G. Santucci, G. Andrienko and M. Pohl.
Solving Problems with Visual Analytics.
, DOI: 10.1016/j.procs.2011.12.0352011.
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M. Krstajic, E. Bertini and D. A. Keim.
CloudLines: Compact Display of Event Episodes in Multiple Time-Series.
IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 17():2432-2439, DOI: 10.1109/tvcg.2011.179, 2011.
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C. Kintzel, J. Fuchs and F. Mansmann.
Monitoring Large IP Spaces with ClockView.
Proc. of Int. Symp. on Visualization for Cyber Security (VizSec), ACM, 2011.
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S. Kisilevich and M. Last.
Exploring gender differences in member profiles of an online dating site across 35 countries.
2011.
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D. A. Keim and H.-P. Kriegel.
Visualization Techniques for Mining Large Databases: A Comparison.
to be reprinted in Cluster Analysis, 2011.
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D. A. Keim and L. Zhang.
Solving problems with visual analytics: challenges and applications.
Proceedings of I-KNOW 2011, 11th International Conference on Knowledge Management and Knowledge Technologies, ACM, DOI: acm.org/10.1145/2024288.2024290, 2011.
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M. C. Hao, C. Rohrdantz, H. Janetzko, U. Dayal, D. A. Keim, L.-E. Haug and M. Hsu.
Visual Sentiment Analysis on Twitter Data Streams (Poster Paper).
Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST 2011), IEEE, pages 277-278, DOI: 10.1109/VAST.2011.6102472, 2011.
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M. C. Hao, H. Janetzko, S. Mittelstädt, W. Hill, U. Dayal, D. A. Keim, M. Marwah and R. K. Sharma.
A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series.
Computer Graphics Forum, 30(3):691–700, DOI: 10.1111/j.1467-8659.2011.01918.x, 2011.
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G. Heyer, D. A. Keim, S. Teresniak and D. Oelke.
Interaktive explorative Suche in großen Dokumentbeständen.
Datenbank-Spektrum, Springer Berlin / Heidelberg, 11():195-206, DOI: 10.1007/s13222-011-0072-4, 2011.
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M. C. Hao, M. Marwah, H. Janetzko, R. K. Sharma, D. A. Keim, U. Dayal, D. Patnaik and N. Ramakrishnan.
Visualizing Frequent Patterns in Large Multivariate Time Series.
Proceedings of Visualization and Data Analysis 2011 (VDA 11), pages 10, DOI: 10.1117/12.872169, 2011.
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E. Bertini, A. Tatu and D. A. Keim.
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization.
IEEE Symposium on Information Visualization (InfoVis), 17(12):pages 2203-2212, 2011.
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S. Kisilevich, C. S. Ang and M. Last.
Large-scale analysis of self-disclosure patterns among online social networks users: A Russian context.
Knowledge and Information Systems Journal (KAIS) (to appear), 2011.
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S. Kisilevich, D. A. Keim, N. Andrienko and G. Andrienko.
Towards acquisition of semantics of places and events by multi-perspective analysis of geotagged photo collections.
2011.
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S. Kisilevich, D. A. Keim, R. Byshko, M. Tsibelman and L. Rokach.
Developing a price management decision support system for hotel brokers using free and open source tools.
13th International Conference on Enterprise Information Systems (ICEIS 2011) (to appear), 2011.
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M. Litvak, M. Last, M. Friedman and S. Kisilevich.
MUSE – A Multilingual Sentence Extractor.
Computational Linguistics & Applications (CLA 11) (to appear), 2011.
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S. Kisilevich, D. A. Keim, A. Lasry, L. Bam and L. Rokach.
Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies.
Lecture Notes in Business Information Processing 73, J. Filipe and J. Cordeiro (Eds.): ICEIS 2010, Springer, Heidelberg, pages 495–511, DOI: 10.1007/978-3-642-19802-1_34, 2011.
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S. Kisilevich, D. A. Keim, Y. Palivatkel and L. Rokach.
Using multiplicative hybrid hedonic pricing model for improving revenue management in hotel business.
“GeoViz Hamburg 2011: Linking Geovisualization with Spatial Analysis and Modeling”, 2011.
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G. Andrienko, N. Andrienko, P. Bak, D. A. Keim, S. Kisilevich and S. Wrobel.
A Conceptual Framework and Taxonomy of Techniques for Analyzing Movement.
Journal of Visual Languages and Computing, 2011.
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E. Bertini, J. Buchmüller, F. Fischer, S. Huber, T. Lindemeier, F. Maaß, F. Mansmann, T. Ramm, M. Regenscheit, C. Rohrdantz, C. Scheible, T. Schreck, S. Sellien, F. Stoffel, M. Tautzenberger, M. Zieker and D. A. Keim.
Visual Analytics of Terrorist Activities Related to Epidemics.
Proc. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2011 – Grand Challenge Award), DOI: 10.1109/VAST.2011.6102498, 2011.
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2010
R. Berndt, I. Blümel, M. Clausen, D. Damm, J. Diet, D. Fellner, C. Fremerey, R. Klein, M. Scherer, T. Schreck, I. Sens, V. Thomas and R. Wessel.
Aufbau einer verteilten digitalen Bibliothek für nichttextuelle Dokumente – Ansatz und Erfahrungen des PROBADO Projekts (in German).
Proc. WissKom, 5. Konferenz der Zentralbibliothek Juelich, Zentralbibliothek Verlag, Forschungszentrum Jülich, pages 219-236, 2010.
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J. Bernard, T. von Landesberger, S. Bremm and T. Schreck.
Cluster correspondence views for enhanced analysis of SOM displays.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), pages 217 – 218, 2010.
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T. von Landesberger, S. Bremm, J. Bernard and T. Schreck.
Smart query definition for content-based search in large sets of graphs.
Proc. Int. Symposium on Visual Analytics Science and Technology (EuroVAST), pages 7-12, 2010.
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R. Berndt, I. Blümel, M. Clausen, D. Damm, J. Diet, D. Fellner, C. Fremerey, R. Klein, F. Krahl, M. Scherer, T. Schreck, I. Sens, V. Thomas and R. Wessel.
The PROBADO project – approach and lessons learned in building a digital library system for heterogeneous non-textual documents.
Proc. European Conference on Digital Libraries, Springer, pages 376-383, 2010.
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T. Ruppert, T. May, J. Kohlhammer and T. Schreck.
Visuelle Analysen des Datensatzes – Wie versteckte Zusammenhaeange sichtbar werden.
Allgemeinbildung in Deutschland – Erkenntnisse aus dem SPIEGEL-Studentenpisa-Test (Editors: S. Trepte and M. Verbeet), VS Verlag für Sozialwissenschaften (Springer Fachmedien), pages 87-104, 2010.
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T. Schreck.
Visual-Interactive Analysis With Self- Organizing Maps – Advances and Research Challenges.
Self-Organizing Maps (Editor: G. Matsopoulos), Intech, pages 83–96, 2010.
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M. Scherer, M. Walter and T. Schreck.
Histograms of oriented gradients for 3D model retrieval.
Proc. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pages 41-48, 2010.
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T. Schreck, T. von Landesberger and S. Bremm.
Techniques for precision based visual analysis of projected data.
Proc. IS&T/SPIE Conference on Visualization and Data Analysis, SPIE Press, pages 7500E.1-7500E.12, 2010.
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S. Yoon, M. Scherer, T. Schreck and A. Kuijper.
Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours.
Proc. ACM Multimedia, pages 193-200, 2010.
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T. von Landesberger, A. Kuijper, T. Schreck, J. Kohlhammer, J. van Wijk, J.-D. Fekete and D. Fellner.
Visual analysis of large graphs.
Eurographics State-of-the-Art Reports, pages 113-136, 2010.
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J. Bernard, J. Brase, D. Fellner, O. Koepler, J. Kohlhammer, T. Ruppert, T. Schreck and I. Sens.
A visual digital library approach for time-oriented research data.
Proc. European Conference on Digital Libraries, Springer, pages 352-363, 2010.
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T. Schreck, T. von Landesberger and S. Bremm.
Techniques for precision-based visual analysis of projected data.
Palgrave Macmillan Information Visualization, 9(3):181–193, 2010.
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G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. A. Keim, T. von Landesberger, C. Pölitz and T. Schreck.
A framework for using Self-Organizing Maps to analyze spatio-temporal patterns, exemplified by analysis of mobile phone usage.
Taylor & Francis Journal of Location Based Services, 4(3–4):200–221, 2010.
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S. Bremm, T. Schreck, P. Boba, S Held and K. Hamacher.
Computing and visually analyzing mutual information in molecular co-evolution.
BMC Bioinformatics, 11:330(), 2010.
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D. A. Keim, J. Kohlhammer, G. Ellis and F. Mansmann.
Mastering The Information Age – Solving Problems with Visual Analytics.
Eurographics, 2010.
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M. O. Ward, G. Grinstein and D. A. Keim.
Interactive Data Visualization: Foundations, Techniques, and Application.
A. K. Peters, Ltd, 2010.
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H. Ziegler, M. Jenny, T. Gruse and D. A. Keim.
Visual Market Sector Analysis for Financial Time Series Data.
Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST ’10), 2010.
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A. Tatu, P. Bak, E. Bertini, D. A. Keim and J. Schneidewind.
Visual quality metrics and human perception: an initial study on 2D projections of large multidimensional data.
Proceedings of the Working Conference on Advanced Visual Interfaces (AVI ’10), pages 49-56, 2010.
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D. Weiskopf, G. Andrienko, N. Andrienko and P. Bak.
Visuelle Bewegungsanalyse in Video- und Geodaten.
Informatik Spektrum, 2010.
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G. Stapleton, L. Zhang, J. Howse and P. Rodgers.
Drawing Euler Diagrams with Circles.
Proceedings of International Conference on the Theory and Application of Diagrams 2010, Springer, pages 23-38, 2010.
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P. Rodgers, G. Stapleton, J. Howse and L. Zhang.
Euler Graph Transformations for Euler Diagram Layout.
Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing 2010, pages 111 – 118, 2010.
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D. Oelke, D. Spretke, A. Stoffel and D. A. Keim.
Visual Readability Analysis: How to make your writings easier to read.
Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST ’10), pages 123 – 130, 2010.
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J. Pardillo and F. Mansmann.
Towards Readable Layouts for Modeling Data Warehouses.
Proceedings of DOLAP 2010, ACM 13th International Workshop on Data Warehousing and OLAP, ACM, 2010.
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C. Rohrdantz, T. Mayer, M. Butt, F. Plank and D. A. Keim.
Comparative visual analysis of cross-linguistic features.
Proceedings of the International Symposium on Visual Analytics Science and Technology (EuroVAST 2010). The DEFINITIVE VERSION is available at diglib.eg.org., pages 27-32, DOI: 10.2312/PE/EuroVAST/EuroVAST10/027-032, 2010.
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C. Rohrdantz, S. Koch, C. Jochim, G. Heyer, G. Scheuermann, T. Ertl, H. Schütze and D. A. Keim.
Visuelle Textanalyse.
Informatik-Spektrum., 33(6):601-611, DOI: 10.1007/s00287-010-0483-x, 2010.
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T. Mayer, C. Rohrdantz, F. Plank, P. Bak, M. Butt and D. A. Keim.
Consonant co-occurrence in stems across languages: Automatic analysis and visualization of a phonotactic constraint.
Proceedings of the ACL 2010 Workshop on NLP and Linguistics: Finding the Common Ground (NLPLING 2010), pages 67-75, 2010.
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K. Neuhaus, D. Oelke, D. Fürst, S. Scherer and D. A. Keim.
Towards Automatic Detecting of Overlapping Genes – Clustered BLAST Analysis of Viral Genomes.
Proceedings of the 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO ’10), pages 228-239, 2010.
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I. Omer, P. Bak and T. Schreck.
Using space-time visual analytic methods for exploring the dynamics of ethnic groups’ residential patterns.
International Journal of Geographical Information Science (IJGIS), 2010.
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D. Oelke.
Visual Document Analysis: Towards a Semantic Analysis of Large Document Collections.
2010.
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D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. A. Keim, H. Schumann, M. Magnor and H. Theisel.
Visualisierung und Analyse multidimensionaler Datensätze.
Informatik-Spektrum, Springer Berlin / Heidelberg, 33(6):589-600, DOI: 10.1007/s00287-010-0481-z, 2010.
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T. Mayer, C. Rohrdantz, M. Butt, F. Plank and D. A. Keim.
Visualizing Vowel Harmony.
Linguistic Issues in Language Technology, 4(Issue 2):1-33, 2010.
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J. Kohlhammer, T. Ruppert, J. Davey, F. Mansmann and D. A. Keim.
Information Visualisation and Visual Analytics for Governance and Policy Modelling.
CROSSROAD Call for Contributions on Future Internet on ICT for Governance and Policy Modelling, 2010.
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D. A. Keim, A. Pras, J. Schönwälder, P. Wong and F. Mansmann.
Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic.
Journal of Network and Systems Management, 18(2):232–236, DOI: 10.1007/s10922-010-9161-1, 2010.
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M. Krstajic, F. Mansmann, A. Stoffel, M. Atkinson and D. A. Keim.
Processing Online News Streams for Large-Scale Semantic Analysis.
Proceedings of the 1st International Workshop on Data Engineering meets the Semantic Web (DESWeb 2010), 2010.
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D. A. Keim, D. Oelke and C. Rohrdantz.
Analyzing Document Collections via Context-Aware Term Extraction.
Proceedings of Natural Language Processing and Information Systems (NLDB ’09), Springer Berlin / Heidelberg, pages 154-168, DOI: 10.1007/978-3-642-12550-8_13, 2010.
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D. A. Keim, M. Krstajic, P. Bak, D. Oelke and F. Mansmann.
Methods for Interactive Exploration of Large-Scale News Streams.
Web Intelligence and Security, IOS Press, 2010.
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D. A. Keim, P. Bak, E. Bertini, D. Oelke, D. Spretke and H. Ziegler.
Advanced Visual Analytics Interfaces.
Proceedings of the International Working Conference on Advanced Visual Interfaces (AVI 10), The Association for Computing Machinery, Inc. (ACM), pages 3-11, 2010.
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M. Krstajic, E. Bertini, F. Mansmann and D. A. Keim.
Visual analysis of news streams with article threads.
StreamKDD ’10: Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, ACM, pages 39–46, DOI: 10.1145/1833280.1833286, 2010.
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M. Krstajic, P. Bak, D. Oelke, M. Atkinson, W. Ribarsky and D. A. Keim.
Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis.
Proceedings of the 6th International Conference on Web Information Systems and Technologies (WEBIST 2010), 2010.
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M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko.
Visual Analytics of Large Multi-Dimensional Data Using Variable Binned Scatter Plots.
Proceedings of Visualization and Data Analysis 2010 (VDA 10), SPIE, DOI: 10.1117/12.840142, 2010.
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M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko.
Variable binned scatter plots.
Information Visualization Journal (IVS), 9():194-203, DOI: 10.1057/ivs.2010.4, 2010.
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M. C. Hao, R. K. Sharma, U. Dayal, C. Patel, R. Vennelakanti and D. A. Keim.
Application of Visual Analytics for Thermal State Management in Large Data Centers.
Journal Computer Graphics Forum (CGF), DOI: 10.1111/j.1467-8659.2010.01657.x, 2010.
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P. Bak, I. Omer and T. Schreck.
Visual Analytics of Urban Environments using High-Resolution Geographic Data.
M. Painho et al. (eds.) Geospatial Thinking, Lecture Notes in Geoinformation and Cartography, Springer Berlin, pages 25-42, DOI: 10.1007/978-3-642-12326-9, 2010.
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M. Litvak, H. Lipman, A. Ben-Gur, S. Kisilevich, D. A. Keim and M. Last.
Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora.
4th International Workshop On Cross Lingual Information Access, 2010.
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A. Botzer, J. Meyer, P. Bak and Y. Parmet.
User Settings of Cue Thresholds for Binary Categorization Decisions.
Journal of Experimental Psychology: Applied, 16(1):1-15, DOI: 10.1037/a0018758, 2010.
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S. Kisilevich, C. Rohrdantz and D. A. Keim.
“Beautiful picture of an ugly place”. Exploring photo collections using opinion and sentiment analysis of user comments.
Computational Linguistics & Applications (CLA 10), IEEE, pages 419-428, 2010.
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S. Kisilevich, F. Mansmann, P. Bak, D. A. Keim and A. Tchaikin.
Where Would You Go on Your Next Vacation? – A Framework for Visual Exploration of Attractive Places.
GeoProcessing 2010, pages 21-26, 2010.
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S. Kisilevich, D. A. Keim and L. Rokach.
GEO-SPADE: A generic Google Earth-based framework for analyzing and exploring spatio-temporal data.
12th International Conference on Enterprise Information Systems, pages 13-20, 2010.
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S. Kisilevich and M. Last.
Exploring country level gender differences in the context of online dating using classification trees.
Mining Ubiquitous and Social Environments (MUSE 2010), pages 71-87, 2010.
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S. Kisilevich, F. Mansmann and D. A. Keim.
P-DBSCAN: A density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos.
1st International Conference on Computing for Geospatial Research & Application, 2010.
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S. Kisilevich and F. Mansmann.
Analysis of Privacy in Online Social Networks of Runet.
3rd International Conference on Security of Information and Networks (SIN 2010), 2010.
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S. Kisilevich, F. Mansmann, M. Nanni and S. Rinzivillo.
Spatio-temporal clustering.
The Data Mining and Knowledge Discovery Handbook, Springer, pages 855-874, DOI: 10.1007/978-0-387-09823-4_44, 2010.
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S. Kisilevich, L. Rokach, Y. Elovici and B. Shapira.
Efficient Multidimensional Suppression for K-Anonymity.
IEEE Transactions on Knowledge and Data Engineering, 22(3):334-347, DOI: 10.1109/TKDE.2009.91, 2010.
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S. Kisilevich, M. Krstajic, D. A. Keim, N. Andrienko and G. Andrienko.
Event-based analysis of people’s activities and behavior using Flickr and Panoramio geo-tagged photo collections.
2nd International Symposium Visual Analytics, 2010.
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A. Astefanoaie, R. Bozianu, M. Broghammer, R. Jungnickel, C. Rohrdantz, J. Schniertshauer, D. Spretke and P. Bak.
Visual Analytics of a Pandemic Spread.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST Challenge 2010), DOI: http://dx.doi.org/10.1109/VAST.2010.5653071, 2010.
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P. Bak and J. Meyer.
The Effect of User Characteristics on the Efficiency of Visual Querying.
Behavior and Information Technology (BIT), 2010.
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P. Jankowski, N. Andrienko, G. Andrienko and S. Kisilevich.
Discovering Landmark Preferences and Movement Patterns from Photo Postings.
Transactions in GIS, 14(6):833-852, 2010.
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S. Kisilevich, D. A. Keim and L. Rokach.
A novel approach to mining travel sequences using collections of geotagged photos.
Proceedings of the 13th AGILE International Conference on Geographic Information Science, 2010.
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G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. von Landesberger, P. Bak and D. A. Keim.
Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns.
Computer Graphics Forum, 29(3):913-92, 2010.
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G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. A. Keim, T. von Landesberger, C. Pölitz and T. Schreck.
Analyzing Spatio-temporal Patterns of Mobile Phone Calls With Self-Organizing Maps.
Journal of Location Based Services (JLBS), 2010.
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F. Wanner, M. Schaefer, F. Leitner-Fischer, F. Zintgraf, M. Atkinson and D. A. Keim.
DYNEVI – DYnamic News Entity VIsualization.
Proceedings of the International Symposium on Visual Analytics Science and Technology (EuroVAST 2010), Eurographics, pages 69–74, 2010.
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A. Stoffel, D. Spretke, H. Kinnemann and D. A. Keim.
Enhancing Document Structure Analysis using Visual Analytics.
Proceedings of the 2010 ACM symposium on Applied Computing (SAC ’10), ACM, pages 8-12, DOI: 10.1145/1774088.1774091, 2010.
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2009
A. Godil, H Dutagaci, H Akguel, A Axenopoulos, B. Bustos, M Chaouch, P Daras, T Furuya, S Kreft, Z Lian, T Napoléon, A Mademlis, R Ohbuchi, P Rosin, B Sankur, T. Schreck, X Sun, M Tezuka, A Verroust-Blondet, M. Walter and Y Yemez.
SHREC’09 Track: Generic shape retrieval.
Proc. EG Workshop on 3D Object Retrieval, pages 61-68, 2009.
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T. Ruppert, S. Bremm, T. Schreck and J. Kohlhammer.
VisServer – a visual analytics framework.
Eurographics/IEEE Symposium on Visualization (Poster Paper), 2009.
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J. Bernard, T. von Landesberger, S. Bremm and T. Schreck.
Micro-macro views for visual trajectory cluster analysis.
Eurographics/IEEE Symposium on Visualization (Poster Paper), 2009.
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R. Berndt, H. Krottmaier, S. Havemann and T. Schreck.
The PROBADO-framework: Content-based queries for non-textual documents.
Proc. Int. Conference on Electronic Publishing, 2009.
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R. Berndt, I. Blümel, H. Krottmaier, R. Wessel and T. Schreck.
Demonstration of user interfaces for querying in 3D architectural content in PROBADO3D.
Proc. European Conference on Digital Libraries (Demonstration Paper), Springer, pages 491-492, 2009.
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T. von Landesberger, S. Bremm, P. Rezaei and T. Schreck.
Visual analytics of time dependent 2D point clouds.
Proc. Computer Graphics International, pages 97-101, 2009.
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T. Schreck, B. Bustos and M. Walter.
A query-by-example concept and user interface for global and partial 3D object retrieval.
Proc. EG Workshop on 3D Object Retrieval (Poster Paper), 2009.
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B. Bustos and T. Schreck.
Feature-Based 3D Object Retrieval.
Encyclopedia of Database Systems (Editors: L. Liu and T.  Ozsu), Springer, pages 1125-1128, 2009.
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T. von Landesberger, M. Görner, R. Rehner and T. Schreck.
A system for interactive visual analysis of large graphs based on motif analysis.
Proc. Int. Fall Workshop on Vision, Modeling, and Visualization, pages 331-339, 2009.
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T. von Landesberger, M. Görner and T. Schreck.
Visual analysis of graphs with multiple connected components.
Proc. IEEE Symposium on Visual Analytics Science and Technology, pages 155-162, 2009.
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T. Schreck, J. Bernard, T. Tekušová and J. Kohlhammer.
Visual cluster analysis of trajectory data with interactive Kohonen maps.
Palgrave Macmillan Information Visualization, 8():14–29, 2009.
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S. Bremm, S. Maier, T. von Landesberger and T. Schreck.
Explorative visual sequence analysis (in German).
Dpunkt Datenbank Spektrum, 31():8–16, 2009.
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F. Wanner, C. Rohrdantz, F. Mansmann, A. Stoffel, D. Oelke, M. Krstajic, D. A. Keim, D. Luo, J. Yang and M. Atkinson.
Large-scale Comparative Sentiment Analysis of News Articles (InfoVis 2009).
2009.
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F. Wanner, C. Rohrdantz, F. Mansmann, D. Oelke and D. A. Keim.
Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008.
Proceedings of the IUI’09 Workshop on Visual Interfaces to the Social and the Semantic Web (VISSW 2009), 2009.
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A. Tatu, G. Albuquerque, M. Eisemann, J. Schneidewind, H. Theisel, M. Magnor and D. A. Keim.
Combining automated analysis and visualization techniques for effective exploration of high-dimensional data.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST ’09), pages 59-66, 2009.
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H. Strobelt, D. Oelke, C. Rohrdantz, A. Stoffel, D. A. Keim and O. Deussen.
Document Cards: A Top Trumps Visualization for Documents.
IEEE Transactions on Visualization and Computer Graphics, 15(6):1145-1152, DOI: 10.1109/TVCG.2009.139, 2009.
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D. Oelke, M. C. Hao, C. Rohrdantz, D. A. Keim, U. Dayal, L.-E. Haug and H. Janetzko.
Visual Opinion Analysis of Customer Feedback Data.
Proceedings of the 2009 IEEE Symposium on Visual Analytics Science and Technology (VAST ’09), IEEE, pages 187-194, DOI: 10.1109/VAST.2009.5333919, 2009.
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G. Robertson, D. Ebert, S. Eick, D. A. Keim and K. Joy.
Scale and complexity in visual analytics.
Information Visualization, Palgrave Macmillan, 8(4):247–253, DOI: 10.1057/ivs.2009.23, 2009.
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H. Luo, J. Fan, D. A. Keim and S. Satoh.
Personalized News Video Recommendation.
Proceeding of the 16th ACM International Conference on Multimedia (MM ’08), 2009.
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F. Mansmann, F. Fischer, S. C. North and D. A. Keim.
Visual Support for Analyzing Network Traffic and Intrusion Detection Events using TreeMap and Graph Representations.
Proceedings of the 3rd ACM Symposium on Computer Human Interaction for the Management of Information Technology (CHiMiT ’09), ACM, pages 19–28, DOI: 10.1145/1641587.1641590, 2009.
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D. A. Keim, M. C. Hao, U. Dayal, H. Janetzko and P. Bak.
Generalized Scatter Plots.
Information Visualization Journal (IVS), Macmillan Publishers Ltd., DOI: 10.1057/ivs.2009.34, 2009.
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H. Janetzko, F. Mansmann, P. Bak and D. A. Keim.
Northern Lights Maps: Spatiotemporal Exploration of Mice Movement.
EuroVis2009 (Poster), 2009.
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D. A. Keim, P. Bak and M. Schaefer.
Dense pixel displays.
Encyclopedia of Database Systems, Springer-Verlag, pages 789-795, 2009.
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M. C. Hao, U. Dayal, D. A. Keim, R. K. Sharma and A. Mehta.
Visual Analytics of Anomaly Detection in Large Data Streams.
Proceedings of the Visualization and Data Analysis Conference (VDA 2009), DOI: doi:10.1117/12.810945, 2009.
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M. C. Hao, H. Janetzko, R. K. Sharma, U. Dayal, D. A. Keim and M. Castellanos.
Visual Prediction of Time Series (Poster).
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2009), pages 229 – 230, DOI: 10.1109/VAST.2009.5333420, 2009.
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Y. Gao, J. Peng, H. Luo, D. A. Keim and J. Fan.
An Interactive Approach for Filtering out Junk Images from Keyword Based Google Search Results.
IEEE Transactions on Circuits and Systems for Video Technology, 19(12), 2009.
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P. Bak, C. Rohrdantz, S. Leifert, C. Granacher, S. Koch, S. Butscher, P. Jungk and D. A. Keim.
Integrative Visual Analytics for Suspicious Behavior Detection.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST Challenge 2009), IEEE, DOI: 10.1109/VAST.2009.5334430, 2009.
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P. Bak, M. Schaefer, A. Stoffel, D. A. Keim and I. Omer.
Density Equalizing Distortion of Large Geographic Point Sets.
Journal of Cartographic and Geographic Information Science (CaGIS), 36(3):237–250, 2009.
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P. Bak, F. Mansmann, H. Janetzko and D. A. Keim.
Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(6):913-920, 2009.
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S. Kisilevich, Y. Elovici, B. Shapira and L. Rokach.
kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity.
Protecting Persons While Protecting the People, Springer Berlin / Heidelberg, pages 63–81, DOI: 10.1007/978-3-642-10233-2_7, 2009.
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G. Andrienko, N. Andrienko, P. Bak, S. Kisilevich and D. A. Keim.
Analysis of community-contributed space- and time referenced data by example of Panoramio photos.
Proceedings of the Vision, Modeling, and Visualization Workshop (VMV), 2009.
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G. Andrienko, N. Andrienko, P. Bak, S. Kisilevich and D. A. Keim.
Analysis of community-contributed space- and time-referenced data (example of flickr photos).
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2009), Poster Paper, 2009.
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G. Andrienko, N. Andrienko, P. Bak, S. Kisilevich and D. A. Keim.
Demo-Paper: Analysis of community-contributed space- and time referenced data (by example of Panoramio photos).
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, pages 540–541, 2009.
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D. A. Keim, A. Pras, J. Schönwälder, P. C. Wong and F. Mansmann.
Visualization and Monitoring of Network Traffic.
Report on the Dagstuhl Seminar 09211, 2009.
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D. A. Keim, J. Kohlhammer, G. Santucci, F. Mansmann, F. Wanner and M. Schaefer.
Visual Analytics Challenges.
Proceedings of eChallenges 2009, 2009.
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F. Mansmann, F. Fischer, D. A. Keim, S. Pietzko and M. Waldvogel.
Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks.
Proceedings des 2. DFN Forum Kommunikationstechnologien, Verteilte Systeme im Wissenschaftsbereich, 2009.
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D. A. Keim, F. Mansmann, A. Stoffel and H. Ziegler.
Visual Analytics.
Encyclopedia of Database Systems, Springer, 2009.
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D. A. Keim, F. Mansmann and J. Thomas.
Visual Analytics: How Much Visualization and How Much Analytics?.
SigKDD Explorations Journal, 11(2), 2009.
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2008
T. Tekušová, M. Knuth, T. Schreck and J. Kohlhammer.
Data quality visualization for multivariate hierarchic data.
IEEE Information Visualization Conference (Poster Paper), 2008.
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T. Tekušová, T. Schreck, J. Behr, J. Kohlhammer and D. Stricker.
The IGD-HEyeWall for visual analytics – concepts and applications.
Int. Workshop on Giga-Pixel Displays and Visual Analytics (Lab Overview Paper), 2008.
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T. Schreck, M. Schüßler, F. Zeilfelder and K. Worm.
Butterfly plots for visual analysis of large point cloud data.
Proc. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pages 33-40, 2008.
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T. Schreck, J. Bernard, T. Tekušová and J. Kohlhammer.
Visual cluster analysis in trajectory data using editable Kohonen maps.
Proc. IEEE Symposium on Visual Analytics Science and Technology, pages 3-10, 2008.
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T. Kalbe, T. Tekušová, T. Schreck and F. Zeilfelder.
GPU-accelerated 2D point cloud visualization using smooth splines for visual analytics applications.
Proc. Spring Conference on Computer Graphics, pages 111-125, 2008.
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T. Tekušová and T. Schreck.
Visualizing time-dependent data in multivariate hierarchic plots – design and evaluation of an economic application.
Proc. Int. Conference on Information Visualization, pages 143-150, 2008.
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H. Ziegler, T. Nietzschmann and D. A. Keim.
Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments.
Proceedings of the 12th conference on Information Visualization (IV 2008), IV-VDM Symposium on Visualization and Data Mining, IEEE Computer Society, pages 287-295, DOI: 10.1109/IV.2008.80, 2008.
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L. Zhang, J. Kuljis and X. Liu.
Information Visualization for DNA Microarray Data Analysis: a Critical Review.
IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 38(1):42-54, 2008.
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H. Ziegler and D. A. Keim.
COPERNICUS: Context-preserving engine for route navigation with interactive user-modifiable scaling.
Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2008), Eurographics Association, pages 927-934, DOI: 10.1111/j.1467-8659.2008.01226.x, 2008.
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G. Stapleton, J. Howse, P. Rodgers and L. Zhang.
Generating Euler Diagrams from Existing Layouts.
Proceedings of the Layout of (Software) Engineering Diagrams 2008, 2008.
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T. Schreck, J. Schneidewind and D. A. Keim.
An Image-Based Approach to Visual Feature Space Analysis.
Proc. of the 16. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG ’08), 2008.
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P. Rodgers, L. Zhang and A. Fish.
General Euler Diagram Generation.
Proceedings of International Conference on the Theory and Application of Diagrams 2008, Springer-Verlag Berlin, Heidelberg, 2008.
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P. Rodgers, L. Zhang, G. Stapleton and A. Fish.
Embedding Wellformed Euler Diagrams.
Proceedings of Information Visualisation 2008, IEEE Computer Society Press, pages 585-593, 2008.
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T. Schreck, D. Fellner and D. A. Keim.
Towards Automatic Feature Vector Optimization for Multimedia Applications.
Proc. of the 23rd ACM Symposium on Applied Computing, Multimedia and Visualization track (ACM SAC), 2008.
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D. Oelke, P. Bak, D. A. Keim, M. Last and G. Danon.
Visual evaluation of text features for document summarization and analysis.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2008), pages 75 – 82, 2008.
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D. A. Keim, M. C. Hao and U. Dayal.
Visual Analytics Techniques for Large Multi-Attribute Time Series Data.
Proceedings of the Visualization and Data Analysis Conference (VDA ’08), SPIE, 2008.
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S. Kisilevich, M. Sinder, J. Pelleg and V. Sokolovsky.
Exponential temporal asymptotics of the A + B -> 0 reaction-diffusion process with initially separated reactants.
Physical Review E, 77(4), DOI: 10.1103/PhysRevE.77.046103, 2008.
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D. A. Keim, F. Mansmann, D. Oelke and H. Ziegler.
Visual Analytics: Combining Automated Discovery with Interactive Visualizations.
Proceedings of the 11th International Conference on Discovery Science (DS 2008), Springer-Verlag, pages 2-14, 2008.
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D. A. Keim, B. Bustos, S. Berchtold and H.-P. Kriegel.
X-tree.
Encyclopedia of GIS, Springer, 2008.
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M. C. Hao, D. A. Keim, U. Dayal, D. Oelke and C. Tremblay.
Density Displays for Data Stream Monitoring.
Computer Graphics Forum, 27(3):895–902, DOI: 10.1111/j.1467-8659.2008.01222.x, 2008.
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J. Fan, Y. Gao, H. Luo, D. A. Keim and Z. Li.
A Novel Approach to Enable Semantic and Visual Image Summarization for Exploratory Image Search.
Proceedings of the ACM International Conference on Multimedia Information Retrieval, 2008.
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F. Fischer, F. Mansmann, D. A. Keim, S. Pietzko and M. Waldvogel.
Large-Scale Network Monitoring for Visual Analysis of Attacks.
VizSec ’08: Proceedings of the 5th international workshop on Visualization for Computer Security, Springer-Verlag, pages 111–118, DOI: 10.1007/978-3-540-85933-8_11, 2008.
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J. Gerken, P. Bak, H. C. Jetter, D. Klinkhammer and H. Reiterer.
How to use interaction logs effectively for usability evaluation.
BELIV’08: Beyond time and errors – novel evaluation methods for Information Visualization (a CHI 2008 Workshop), 2008.
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P. Bak, D. A. Keim, M. Schaefer, A. Stoffel and I. Omer.
Visual Analytics Using Density Equalizing Geographic Distortion.
Geospatial Visual Analytics Workshop at Giscience, 2008.
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D. A. Keim.
Visual Analytics in Europe.
NVAC Views, 2008.
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F. Mansmann.
Visual Analysis of Network Traffic – Interactive Monitoring, Detection, and Interpretation of Security Threats.
2008.
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J. Fan, D. A. Keim, Y. Gao and H. Luo.
JustClick: Personalized Image Recommendation via Exploratory Search from Large-Scale Flickr Image Collections.
IEEE Transactions on circuits and systems for video technology, 18(8), 2008.
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D. A. Keim, F. Mansmann, J. Schneidewind, J. Thomas and H. Ziegler.
Visual Analytics: Scope and Challenges.
Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, 2008.
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F. Mansmann, L. Meier and D. A. Keim.
Visualization of Host Behavior for Network Security.
Proceedings of the 4th Workshop on Visualization for Computer Security (VizSec 2007), Springer, 2008.
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2007
T. Schreck.
PhD Thesis: Effective Retrieval and Visual Analysis in Multimedia Databases.
2007.
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T. Schreck, T. Tekušová, J. Kohlhammer and D. Fellner.
Trajectory-based visual analysis of large financial time series data.
ACM SIGKDD Explorations, Special Issue on Visual Analytics, 9():30-37, 2007.
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H. Ziegler.
Visual Exploration and Analysis of Large Amounts of Financial Data.
Proceedings Summer School on Algorithmic Data Analysis (SADA07), Poster Paper, 2007.
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J. Thomas, D. A. Keim, J. Kielman and L. Rosenblum.
Outlook for Visual Analytics Research Funding.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST), 2007.
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T. Schreck and C. Panse.
A New Metaphor for Projection-Based Visual Analysis and Data Exploration.
Proc. of the Visualization and Data Analysis Conference (VDA ’07), 2007.
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M. Kramis, V. Wildi, B. Lemke, S. Graf, H. Janetzko and M. Waldvogel.
jSCSI – A Java iSCSI Initiator.
Proc. Jazoon ’07, The International Conference on Java Technology, 2007.
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D. A. Keim and D. Oelke.
Literature Fingerprinting: A New Method for Visual Literary Analysis.
Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology (VAST ’07), IEEE Computer Society, pages 115–122, 2007.
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D. A. Keim, D. Morent, J. Schneidewind, M. C. Hao and U. Dayal.
Intelligent Visual Analytics Queries.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2007), 2007.
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D. A. Keim and J. Thomas.
Scope and Challenges of Visual Analytics.
Tutorial at IEEE Visualization, 2007.
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M. C. Hao, U. Dayal, D. A. Keim and T. Schreck.
A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays.
Proc. of the Visualization and Data Analysis Conference (VDA ’07), SPIE, 2007.
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J. Gerken, P. Bak and H. Reiterer.
Longitudinal evaluation methods in human-computer studies and visual analytics.
Metrics for the Evaluation of Visual Analytics (an InfoVIS 2007 Workshop), 2007.
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M. Litvak, M. Last and S. Kisilevich.
Classification of Web Documents using Concept Extraction from Ontologies.
, DOI: 10.1007/978-3-540-72839-9_242007.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and A. Tatu.
Methods and User Interfaces for Effective Retrieval in 3D Databases (in German).
Datenbank – Spektrum – Zeitschrift fuer Datenbank Technologie und Information Retrieval, dpunkt.verlag, 7(20):23–32, 2007.
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S. Kisilevich, M. Sinder, J. Pelleg and V. Sokolovsky.
Irreversible A + B -> 0 Reaction-Diffusion Process with Initially Separated Reactants: Exponential Temporal Asymptotics.
Leipziger Uni-Vlg, 2007.
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D. A. Keim, M. C. Hao, U. Dayal and M. Lyons.
Value-Cell Bar Charts for Visualizing Large Transaction Data Sets.
IEEE Transactions on Visualization and Computer Graphics, 13(4), 2007.
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D. A. Keim, G. Andrienko, J.-D. Fekete, C. Görg, J. Kohlhammer and G. Melancon.
Visual Analytics: Definition, Process, and Challenges.
Dagstuhl group report, 2007.
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B. Bustos, D. A. Keim, D. Saupe and T. Schreck.
Content-Based 3D Object Retrieval.
IEEE Computer Graphics and Applications (CG&A), 27(4), 2007.
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H. Ziegler, T. Nietzschmann and D. A. Keim.
Visual exploration and discovery of atypical behavior in financial time series data using two-dimensional colormaps.
In Proceedings of the 11th International Conference on Information Visualization (IV 07), IV-VDM Symposium on Visualization and Data Mining, IEEE Computer Society, pages 308-315, DOI: 10.1109/IV.2007.124, 2007.
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D. A. Keim and J. Schneidewind.
Introduction to the Special Issue on Visual Analytics.
SIGKDD Explorations Special Issue on Visual Analytics, 9(2), 2007.
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M. Agosti, S. Berretti, G. Brettlecker, A. del Bimbo, N. Ferro, N. Fuhr, D. A. Keim, C. P. Klas, T. Lidy, D. Milano, M. Norrie, P. Ranaldi, A. Rauber, H.-J. Schek, T. Schreck, H. Schuldt, B. Signer and M. Springmann.
DelosDLMS – the Integrated DELOS Digital Library Management System.
DELOS Conference on Digital Libraries, 13-14 February 2007, Pisa (Italy), 2007.
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F. Mansmann, F. Fischer, D. A. Keim and S. C. North.
Visualizing large-scale IP traffic flows.
Proceedings of 12th International Workshop Vision, Modeling, and Visualization (VMV 2007), 2007.
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F. Mansmann, D. A. Keim, S. C. North, B. Rexroad and D. Sheleheda.
Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats.
IEEE Transactions on Visualization and Computer Graphics, IEEE Press, 13(6), 2007.
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B. Bustos, D. Fellner, S. Havemann, D. A. Keim, D. Saupe and T. Schreck.
Foundations of 3D Digital Libraries: Current Approaches and Urgent Research Challenges.
Proceedings of the First International Workshop on Digital Libraries Foundations (DLF1), Vancouver, British Columbia, Canada, June 23, 2007. DELOS Network of Excellence on Digital Libraries, 2007.
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D. A. Keim, J. Schneidewind and M. Sips.
Scalable Pixel Based Visual Data Exploration.
Pixelization Paradigm, Springer, pages 12–24, 2007.
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F. Mansmann.
Visualizing Source-Destination Relationships of Network Traffic in the Internet.
Summer School on Algorithmic Data Analysis (SADA ’07), 2007.
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J. Schneidewind.
Scalable Visual Analytics: Solutions and Techniques for Business Applications.
2007.
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H. Ziegler, T. Nietzschmann and D. A. Keim.
Relevance Driven Visualization of Financial Performance Measures.
In Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2007), Eurographics Association, pages 19-26, DOI: 10.1.1.90.492, 2007.
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D. A. Keim, G. Andrienko, N. Andrienko, P. Jankowski, M.-J. Kraak, A. MacEachren and S. Wrobel.
Geovisual Analytics for Spatial Decision Support: Setting the Research Agenda.
International Journal of Geographical Information Science (IJGIS), Taylor & Francis, 21(8):839–857, 2007.
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M. Sips, J. Schneidewind and D. A. Keim.
Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making.
International Journal of Geographical Information Science (IJGIS), Taylor & Francis, 21(8):879–894, 2007.
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S. Mansmann, F. Mansmann, M. H. Scholl and D. A. Keim.
Hierarchy-driven Exploration of Multidimensional Data Cubes.
Proceedings der 12. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW 2007), Aachen, Germany, Gesellschaft für Informatik, 2007.
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J. Schneidewind, M. Sips and D. A. Keim.
An Automated Approach for the Optimization of Pixel Based Visualizations.
Palgrave Macmillan Information Visualization, 6(1):75-88, 2007.
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M. C. Hao, D. A. Keim, U. Dayal and T. Schreck.
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data.
Eurographics/IEEE-VGTC Symposium on Visualization, 23 – 25 May 2007, Norrkoping, Sweden, 2007.
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J. Meyer, J. Thomas, S. Diehl, B. Fisher, D. A. Keim, D. Laidlaw, S. Miksch, K. Mueller, W. Ribarsky, B. Preim and A. Ynnerman.
From Visualization to Visually Enabled Reasoning.
2007.
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2006
L. Zhang, W. Sheng and X. Liu.
3D Visualization of Gene Clusters.
Proceedings of International Conference in Computer Vision and Graphics 2004, Springer, pages 349-354, 2006.
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J. Schneidewind, M. Sips and D. A. Keim.
Pixnostics: Towards Measuring the Value of Visualization.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST ’06), 2006.
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D. A. Keim, D. Oelke, R. Truman and K. Neuhaus.
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration.
Proceeedings of 6th IEEE Symposium on BioInformatics and BioEngineering (BIBE ’06), pages 183-192, 2006.
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D. A. Keim, F. Mansmann, J. Schneidewind and T. Schreck.
Monitoring Network Traffic with Radial Traffic Analyzer.
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST ’06), 2006.
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D. A. Keim, F. Mansmann, J. Schneidewind and H. Ziegler.
Challenges in Visual Data Analysis.
Information Visualization (IV 2006), IEEE Press, 2006.
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H. Janetzko, D. A. Keim, M. Kramis, F. Mansmann and M. Waldvogel.
Interactive Poster: Exploring Block Access Patterns of Native XML Storage.
Conference Compendium of IEEE Symposium on Information Visualization (InfoVis 2006), IEEE, 2006.
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M. C. Hao, D. A. Keim, U. Dayal and T. Schreck.
Multi Resolution Techniques for Visual Exploration of Large Time-Series Data.
Poster paper presented at the IEEE Symposium on Information Visualization (InfoVis 2006), 2006.
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S. K. Belle, D. Oelke, S. Oettl and M. Sips.
Exploration of Local Distribution of Major Ethnic Groups in the USA.
Contest Submission at the IEEE Symposium on Information Visualization (InfoVis ’06), Baltimore, Maryland, USA, 2006.
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J. Arnott, L. Zhang and D. O’Mara.
Information Visualisation in the user interface for augmentative and alternative communication.
Technology & Disability, 18(3):147-161, 2006.
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M. Sips.
Pixel-based Visual Data Mining in Large Geo-Spatial Point Sets.
Hartung-Gorre Verlag Konstanz, 2006.
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C. S. Merino, M. Sips, C. Panse, R. Spence and D. A. Keim.
Task-At-Hand Interface for Change Detection in Stock Market Data.
ACM Advanced Visual Interfaces International Working Conference AVI 2006, May 23-26, Venezia, Italy, ACM Press, 2006.
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F. Mansmann and S. Vinnik.
Interactive Exploration of Data Traffic with Hierarchical Network Maps.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 12(6), 2006.
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T. Schreck, D. A. Keim and F. Mansmann.
Regular TreeMap Layouts for Visual Analysis of Hierarchical Data.
Proceedings of the Spring Conference on Computer Graphics (SCCG’2006), ACM Siggraph, 2006.
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D. A. Keim, T. Nietzschmann, N. Schelwies, J. Schneidewind, T. Schreck and H. Ziegler.
A Spectral Visualization System for Analyzing Financial Time Series Data.
Proceedings of the Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2006), Eurographics Association, pages 195-200, DOI: 10.2312/VisSym/EuroVis06/195-202, 2006.
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M. Sips, J. Schneidewind and D. A. Keim.
Scalable Pixel-based Visual Data Exploration.
IEEE EMBS Visual Information Expert Workshop (VIEW 06), Paris, France, April 24-25, Springer Lecture Notes in Computer Science (LNCS) 4370, 2006.
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D. A. Keim, J. Schneidewind, M. C. Hao and U. Dayal.
Business Process Impact Visualization and Anomaly Detection.
Palgrave Macmillan Information Visualization, 5(1), 2006.
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S. Vinnik and F. Mansmann.
From Analysis to Interactive Exploration: Building Visual Hierarchies from OLAP Cubes.
Proceedings of the 10th International Conference on Extending Database Technology (EDBT) March 26-30, 2006, Munich – Germany, 2006.
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S. Mansmann, M. H. Scholl, D. A. Keim and F. Mansmann.
Interactive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques.
Presented at the IEEE Symposium on Information Visualization (InfoVis 2006), 2006.
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M. Sips, J. Schneidewind and D. A. Keim.
Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making.
Workshop on Visualization, Analytics & Spatial Decision Support at the GIScience conference, September 20, 2006, Muenster, Germany, 2006.
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C. Panse, M. Sips, D. A. Keim and S. C. North.
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement.
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2006), IEEE Press, 12(5):749-756, 2006.
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C. Panse.
Visualisierung von geographie-bezogenen Daten mit Hilfe von Kartogrammen.
Ausgezeichnete Informatikdissertationen 2005, GI-Edition — Lecture Notes in Informatics (LNI), 2006.
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M. Sips, J. Schneidewind, D. A. Keim and H. Schumann.
Scalable Pixel-based Visual Interfaces: Challenges and Solutions.
Information Visualization (IV 2006), IEEE Press, 2006.
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T. Schreck, D. A. Keim and C. Panse.
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering.
Proc. IEEE Int. Conference on Multimedia and Expo (ICME’2006). Toronto, Canada, July 9-12, 2006.
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B. Bustos, O. Deussen, S. Hiller and D. A. Keim.
A Graphics Hardware Accelerated Algorithm for Nearest Neighbor Search.
Proceedings of the International Conference on Computational Science (ICCS’06) Part IV, LNCS 3994, Springer, pages 196-199, 2006.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
An Experimental Effectiveness Comparison of Methods for 3D Similarity Search.
International Journal on Digital Libraries, Special, Springer, 6(1):39-54, 2006.
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2005
L. Zhang, W. Sheng and X. Liu.
3D visualization of gene clusters and networks.
Proceedings of the SPIE Visualization and Data Analysis 2005, pages 316-326, 2005.
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W. Sheng, S. Swift, L. Zhang and X. Liu.
A Weighted Sum Validity Function for Clustering With a Hybrid Niching Genetic Algorithm.
IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 35(6):1156-1167, 2005.
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D. A. Keim, J. Schneidewind, C. Panse, M. Sips, J. Haddick, F. Dill and H. Dolfing.
IVC05 Exploration Toolkit.
InfoVis 2005 Contest Paper (Honorable Mention), IEEE Symposium on Information Visualization (InfoVis 2005), 2005.
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D. A. Keim, J. Schneidewind and M. Sips.
FP-Viz: Visual Frequent Pattern Mining.
Proceedings of IEEE Symposium on Information Visualization (InfoVis ’05), Poster Paper, 2005.
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M. C. Hao, D. A. Keim, U. Dayal and T. Schreck.
Importance-Driven Visualization Layouts for Large Time Series Data.
Proc. of IEEE Symposium on Information Visualization (InfoVis ’05), 2005.
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U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright.
VisImpact: business impact visualization.
Proceedings of the Visualization and Data Analysis Conference (VDA ’05), SPIE, 2005.
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U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright.
Visual mining geo-related data using pixel bar charts.
Proceedings of the Visualization and Data Analysis Conference (VDA ’05), SPIE, 2005.
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M. Litvak, M. Last and S. Kisilevich.
Improving classification of multi-lingual web documents using domain ontologies.
The Second International Workshop on Knowledge Discovery and Ontologies (KDO 2005), pages 67-74, 2005.
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P. Bak and J. Meyer.
Effects of Cognitive Styles and Data Characteristics on Visual Data Mining.
Proceedings of SPIE International Society of Optical Engineering, pages 77-86, 2005.
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P. Bak and J. Meyer.
Cognitive Style and Zooming in Interactive Visual Data Analyses.
International Conference on Information Systems: Third Annual Pre-ICIS SIGDSS Workshop, 2005.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
Feature-based Similarity Search in 3D Object Databases.
ACM Computing Surveys (CSUR), Association for Computing Machinery, 37(4):345-387, 2005.
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B. Bustos, D. A. Keim and T. Schreck.
A pivot-based index structure for combination of feature vectors.
Proc. 20th Annual ACM Symposium on Applied Computing, Multimedia and Visualization Track (SAC-MV’05), ACM Press, pages 1180-1184, 2005.
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D. A. Keim, F. Mansmann and T. Schreck.
Analyzing Electronic Mail using Temporal, Spatial, and Content-based Visualization Techniques.
LNI Tagungsbaende Informatik 2005, Spt. 19-22, Bonn, Germany, 2005.
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D. A. Keim, F. Mansmann and T. Schreck.
MailSOM – Visual Exploration of Electronic Mail Archives Using Self-Organizing Maps.
Proc. of the 2nd Conference on Email and Anti-Spam (CEAS 2005), 2005.
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U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind.
VisBiz: A Business Process Visualization Case Study.
EuroVis 2005: Eurographics/IEEE-VGTC Symposium on Visualization, Leeds, United Kingdom June 1st-3rd, 2005.
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D. A. Keim, F. Mansmann, C. Panse, J. Schneidewind and M. Sips.
Mail Explorer – Spatial and Temporal Exploration of Electronic Mail.
Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis 2005), 2005.
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D. A. Keim and J. Schneidewind.
Scalable Visual Data Exploration of Large Data Sets via MultiResolution.
JUCS Special Issue on Visual Data Mining, 11(11):1766-1779, 2005.
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D. A. Keim, C. Panse and S. C. North.
Medial-Axis-Based Cartograms.
IEEE Computer Graphics and Applications, 25(3):pp. 60-68, 2005.
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2004
D. A. Keim, C. Panse and M. Sips.
Information Visualization: Scope, Techniques and Opportunities for Geovisualization.
Exploring Geovisualization, Oxford: Elsevier, 2004.
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D. A. Keim and B. Bustos.
Similarity Search in Multimedia Databases.
Proceedings of the 20th International Conference on Data Engineering, IEEE Computer Society, pages 873–, 2004.
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R. Heilmann, D. A. Keim, C. Panse and M. Sips.
RecMap: Rectangular Map Approximations.
Proceedings of IEEE Symposium on Information Visualization (InfoVis ’04), 2004.
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U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind.
Visual Mining of Business Process Data.
Proceedings of IEEE Symposium on Information Visualization (InfoVis ’04), Poster Paper, 2004.
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B. Bustos, D. A. Keim, C. Panse and T. Schreck.
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases.
Poster Paper, IEEE Visualization Conference (VIS’2004). October 10-15, Austin, Texas, USA, 2004.
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D. A. Keim and W. Lehner.
Data Mining und Data Warehousing.
Datenbank-Spektrum, dpunkt.verlag, 9():5, 2004.
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D. A. Keim and N. Koudas.
Introduction to special issue with best papers from KDD 2002.
Information Systems, Elsevier Science, 29(4):271-272, 2004.
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D. A. Keim, J. Schneidewind and M. Sips.
CircleView – A New Approach for Visualizing Time related Multidimensional Data Sets.
ACM Advanced Visual Interfaces, International Working Conference, AVI 2004, May 25-28, Gallipoli (Lecce), Italy, ACM Press, 2004.
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B. Bustos and G. Navarro.
Probabilistic Proximity Search Algorithms Based on Compact Partitions.
Journal of Discrete Algorithms (JDA), Elsevier Science, 2(1):115-134, 2004.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
Automatic Selection and Combination of Descriptors for Effective 3D Similarity Search.
Proc. IEEE International Workshop on Multimedia Content-based Analysis and Retrieval (MCBAR’04), IEEE Computer Society, pages 514-521, 2004.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
An Experimental Comparison of Feature-Based 3D Retrieval Methods.
Proc. Second International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT’2004). Thessaloniki, Greece, September 6-9 (Poster Paper), IEEE CS Press, pages 215-222, 2004.
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B. Bustos, D. A. Keim, D. Saupe, T. Schreck and D. Vranic.
Using Entropy Impurity for Improved 3D Object Similarity Search.
Proc. IEEE International Conference on Multimedia and Expo (ICME’04), IEEE, pages 1303-1306, 2004.
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D. A. Keim, M. Heczko, A. Hinneburg and M. Wawryniuk:.
Multi-Resolution Similarity Search in Image Databases.
ACM/Springer Multimedia Systems Journal, 10(1):28-40, 2004.
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D. A. Keim, P. Vassiliadis, B. Catania, Y. Theodoridis and C. Robardet.
Pattern management challenges.
From Data to Patterns: Int. Workshop on Pattern Representation and Management, PaRMa`04, Heraklion – Crete, Greece, March 18, 2004.
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U. Dayal, M. C. Hao and D. A. Keim.
VizBiz: A Simplified Visualization of Business Operation, Poster-paper.
VIS 2004, IEEE Symposium on Visualization, Austin, Texas, USA, 2004.
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D. A. Keim, O. Deussen, C. D. Hansen and D. Saupe.
VisSym 2004.
Proceedings of the Symposium on Visualization, Konstanz, Germany, May 19-21, Eurographics Association, 2004.
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D. A. Keim.
Datenvisualisierung und Data Mining.
Book Chapter in: Grundlagen der praktischen Information und Dokumentation by Rainer Kuhlen, Thomas Seeger, Dietmar Strauch, Saur Verlag München, pages 363-369, 2004.
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D. A. Keim, T. Munzner and S. C. North.
Guest Editor’s Introduction: Special Section on InfoVis.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(4):446, 2004.
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D. A. Keim, C. Panse, M. Sips, J. Schneidewind and H. Barro.
Exploring and Visualizing the History of InfoVis.
IEEE Symposium on Information Visualization 2004 (InfoVis04) Contest Poster (2nd place award), Austin, Texas, USA, 2004.
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A. Amir, R. Kashi, D. A. Keim, N. S. Netanyahu and M. Wawryniuk:.
Shape-Embedded-Histograms for Visual Data Mining.
VisSym, Eurographics Association, pages 55-64, 341, 2004.
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D. A. Keim and T. Ertl.
Wissenschaftliche Visualisierung.
it – Information Technology, Oldenbourg, 46(3):109-110, 2004.
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T. Ertl and D. A. Keim.
Wissenschaftliche Visualisierung – Ausgewählte Forschungsprojekte.
it – Information Technology, Oldenbourg, 46(3):148-153, 2004.
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D. A. Keim, S. C. North and C. Panse.
CartoDraw: A Fast Algorithm for Generating Contiguous Cartograms.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 10(1):95-110, 2004.
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D. A. Keim, S. C. North, C. Panse and M. Sips.
Pixel based Visual Mining of Geo-Spatial Data.
Computers & Graphics (CAG), Elsevier Science, 28(3):327-344, 2004.
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D. A. Keim, S. C. North, C. Panse and M. Sips.
Visual Data Mining in Large Geo-Spatial Point Sets.
IEEE Computer Graphics and Applications (CG&A), Special Issue: Visual Analytics, IEEE Press, 12(5):36-44, 2004.
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D. A. Keim, C. Panse, J. Schneidewind and M. Sips.
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps.
WSCG 2004, The 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, February 2 – 6, University of West Bohemia, Campus Bory, Plzen, Czech Republic, 2004.
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D. A. Keim, C. Panse, J. Schneidewind and M. Sips.
Analyzing Large Collections of E-Mail.
IKE’04 – The 2004 International Conference on Information and Knowledge Engineering, June 21 – 24, 2004, Las Vegas, Nevada, USA, CSREA Press, 2004.
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R. Heilmann, D. A. Keim, C. Panse, J. Schneidewind and M. Sips.
Finding Spatial Patterns in Network Data.
From Data to Patterns: Int. Workshop on Pattern Representation and Management, PaRMa`04, Heraklion – Crete, Greece, March 18, 2004.
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D. A. Keim, M. Ankerst and M. Sips.
Visual Data-Mining Techniques.
Book Chapter in: Visualization Handbook by Johnson and Hanson, Kolam Publishing, pages 813-825, 2004.
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D. A. Keim, M. Ankerst and M. Sips.
Visual Data Mining Techniques.
Visualization Handbook, Elsevier, pages 813-825, 2004.
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2003
F. Casati, U. Dayal, M. C. Hao, D. A. Keim and J. Schneidewind.
Interactive-Poster: Business Impact Visualization.
Proceedings of IEEE Symposium on Information Visualization (InfoVis ’03), Poster Paper, 2003.
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D. A. Keim, C. Panse and M. Sips.
Visual Data Mining of Large Spatial Data Sets.
Databases in Networked Information Systems, Third International Workshop, DNIS’03, Aizu, Japan, September 22-24, Lecture Notes in Computer Science, Vol. 2822, 2003.
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A. Hinneburg, D. A. Keim, M. Wawryniuk:, A. Amir, R. Kashi and N. S. Netanyahu.
Analyzing High-Dimensional Data by Subspace Validity.
ICDM 2003, IEEE, pages 473-476, 2003.
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M. L. Kersten, G. Weikum, M. J. Franklin, D. A. Keim, A. Buchmann and S. Chaudhuri.
A Database Striptease or How to Manage Your Personal Databases.
VLDB 2003, Proceedings of 29th International Conference on Very Large Data Bases, September 9-12, 2003, Berlin, Germany, Morgan Kaufmann, pages 1043-1044, 2003.
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A. Hinneburg and D. A. Keim.
Visual interaction to solving complex optimization problems.
Data Visualization: The State of the Art, Kluwer, pages 407-422, 2003.
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R. Baeza-Yates, B. Bustos, E. Chávez, N. Herrera and G. Navarro.
Clustering in Metric Spaces and Its Application to Information Retrieval.
in W. Wu, H. Xiong, and S. Shekhar (editors), Clustering and Information Retrieval, Kluwer Academic Publishers, pages 1-34, 2003.
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B. Bustos, G. Navarro and E. Chávez.
Pivot Selection Techniques for Proximity Searching in Metric Spaces.
Pattern Recognition Letters, 24(14):2357–2366, 2003.
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A. Hinneburg, D. A. Keim and M. Wawryniuk:.
Using Projections to Visually Cluster High–Dimensional Data.
IEEE Computing in Science & Engineering, 5(2):14–25, 2003.
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U. Dayal, M. C. Hao, D. A. Keim, J. Schneidewind and P. Wright.
Geo Pixel Bar Charts, Poster-paper.
VIS 2003, IEEE Visualization, Seattle, Washington, 2003.
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D. A. Keim, S. C. North, C. Panse and J. Schneidewind.
Visualizing Geographic Information: VisualPoints vs CartoDraw.
Palgrave Macmillan — Information Visualization, 2(1):58–67, 2003.
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A. Hinneburg and D. A. Keim.
A General Approach to Clustering in Large Databases with Noise.
Knowledge and Information Systems (KAIS), Springer, 5(4):387-415, 2003.
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D. J. Hand, D. A. Keim and R. T. Ng.
Guest Editorial. Data Mining and Knowledge Discovery.
Data Mining and Knowledge Discovery, 7(4):347-348, 2003.
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D. J. Hand, D. A. Keim and R. T. Ng.
Guest Editorial. Data Mining and Knowledge Discovery.
Data Mining and Knowledge Discovery, 7(3):239-240, 2003.
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D. A. Keim, C. Panse, J. Schneidewind, M. Sips, M. C. Hao and U. Dayal.
Pushing the Limit in Visual Data Exploration: Techniques and Applications.
Advances in Artificial Intelligence, 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, Lecture Notes in Artificial Intelligence, Vol. 2821, 2003.
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A. Hinneburg, D. A. Keim and M. Wawryniuk:.
HD-Eye: Visual Clustering of High–Dimensional Data.
19th International Conference on Data Engineering (ICDE 2003), IEEE Computer Society, pages 753–755, 2003.
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D. A. Keim, C. Panse, M. Schaefer and M. Sips.
HistoScale: An Efficient Approach for Computing Pseudo-Cartograms, Poster Paper.
Vis 2003, IEEE Visualization Conference, Seattle, Washington, USA, 2003.
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D. A. Keim, S. C. North, C. Panse and M. Sips.
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets.
ICDM 2003, The Third IEEE International Conference on Data Mining, 19-22 November 2003, Melbourne, Florida, USA, IEEE Computer Society, 2003.
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2002
D. A. Keim, S. C. North, C. Panse and J. Schneidewind.
Efficient Cartogram Generation: A Comparison.
Proceedings of IEEE Symposium on Information Visualization (InfoVis ’02), pages 33-36, 2002.
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D. A. Keim.
Datenvisualisierung und Data Mining.
Datenbank-Spektrum, 2(2):30–39, 2002.
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G. Grinstein, M. Ankerst and D. A. Keim.
Visual Data Mining: Background, Techniques, and Drug Discovery Applications.
Tutorial KDD 2002, 2002.
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G. Grinstein, D. A. Keim and M. O. Ward.
Information Visualization, Visual Data Mining, and Its Application to Drug Design.
Tutorial Visualization 2002, 2002.
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B. Bustos and G. Navarro.
Probabilistic Proximity Searching Algorithms Based on Compact Partitions.
Proc. of String Processing and Information Retrieval (SPIRE´02), pages 284–297, 2002.
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M. Heczko, D. A. Keim, D. Saupe and D. Vranic.
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten.
Proc. Datenbanksysteme in Büro, Technik und Wissenschaft (BTW’01), Oldenburg, 2001; extended version in Datenbank Spektrum, 2(1):54–63, 2002.
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M. Heczko, A. Hinneburg, D. A. Keim and M. Wawryniuk:.
Multi-Resolution Similarity Search in Image Databases.
Proc. 8th Int. Workshop on Multimedia Information Systems, Tempe, Arizona, USA, Arizona State University, pages 76–85, 2002.
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S. G. Eick and D. A. Keim.
Visual Data Mining.
KDD Workshop Report. SIGKDD Explorations, 3(2):70, 2002.
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D. A. Keim.
Information Visualization and Visual Data Mining.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(1):1–8, 2002.
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D. A. Keim, M. C. Hao, U. Dayal and M. Hsu.
Pixel Bar Charts: A Visualization Technique for Very Large Multi-Attribute Data Sets.
Visualization, San Diego 2001, extended version in: Information Visualization Journal, Palgrave, 1(2), 2002.
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A. Hinneburg, D. A. Keim and M. Wawryniuk:.
HD-Eye: Visual Clustering of High–Dimensional Data.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, Madison, Wisconsin, ACM Press, pages 629–629, 2002.
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D. A. Keim and M. O. Ward.
Visual Data Mining Techniques.
Intelligent Data Analysis, an Introduction by D. Hand and M. Berthold, Springer, 2002.
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D. A. Keim, M. C. Hao and U. Dayal.
Hierarchical Pixel Bar Charts.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 8(3):255–269, 2002.
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D. A. Keim.
Data Mining mit bloßem Auge.
Spektrum der Wissenschaft, 2002.
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2001
D. A. Keim and M. Ankerst.
Visual Data Mining and Exploration of Large Databases.
Tutorial PKDD 2001, 2001.
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M. Heczko and D. A. Keim.
Wavelets and their Applications in Databases, Tutorial at the 17th International Conference on Data Engineering (ICDE’01).
Tutorial at the 17th International Conference on Data Engineering (ICDE’01), 2001.
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B. Bustos, G. Navarro and E. Chávez.
Pivot Selection Techniques for Proximity Searching in Metric Spaces.
Proc. of the XXI International Conference of the Chilean Computer Science Society, IEEE CS Press, pages 33–40, 2001.
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C. Böhm, S. Berchtold and D. A. Keim.
Searching in High–Dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases.
ACM Computing Surveys, 33(3):322–373, 2001.
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S. Berchtold, C. Böhm, D. A. Keim, F. Krebs and H.-P. Kriegel.
On Optimizing Nearest Neighbor Queries in High–Dimensional Spaces.
Proc. 8th Int. Conf. on Database Theory, pages 435–449, 2001.
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S. Berchtold, C. Böhm and D. A. Keim.
A Model for Optimizing Nearest Neighbor Queries in High-Dimensional Space.
Proc. 8th Int. Conf. on Database Theory (ICDT), London, UK, 2001.
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M. Heczko, D. A. Keim, D. Saupe and D. Vranic.
Verfahren zur Ähnlichkeitssuche auf 3D-Objekten.
Proc. Datenbanksysteme in Büro, Technik und Wissenschaft, Oldenburg, pages 384–401, 2001.
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D. A. Keim.
Visual Exploration of Large Data Sets.
Communications of the ACM (CACM), 44(8):38–44, 2001.
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D. A. Keim, M. C. Hao, J. Ladisch, M. Hsu and U. Dayal.
Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation.
Visualization 2001, Los Angeles, pages 113, 2001.
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C. C. Aggarwal, A. Hinneburg and D. A. Keim.
On the Surprising Behavior of Distance Metric in High-Dimensional Space.
Proc. 8th Int. Conf. on Database Theory, London, pages 420–434, 2001.
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2000
D. A. Keim.
Visual Data Exploration.
Tutorial Notes, 2000.
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D. A. Keim.
Information Visualization Techniques for Exploring Large Databases.
Visual Databases, 2000.
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D. A. Keim.
An Introduction to Information Visualization Techniques for Exploring Large Databases.
Tutorial Notes, 2000.
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S. Berchtold and D. A. Keim.
High-Dimensional Index Structures – Databases Support for Next Decade’s Applications’s, Tutorial at ICDE00.
2000.
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A. Hinneburg, D. A. Keim and W. Brandt.
Clustering 3D–structures of Small Aminoacid–chains for Detecting Dependence from Their Sequential Context in Proteins.
1st IEEE Int. Symposium on Bio-Informatics & Biomedical Engineering (BIBE), Arlington, Virginia, USA, pages 43–49, 2000.
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A. Hinneburg, D. A. Keim and C. C. Aggarwal.
What is the nearest neighbor in high dimensional spaces?.
Proc. 26th Int. Conf. on Very Large Databases, Cairo, Egypt, 2000.
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S. Berchtold, C. Böhm, D. A. Keim, H.-P. Kriegel and X. Xu.
Optimal Multidimensional Query Processing Using Tree Striping.
Lecture Notes in Computer Science, Springer, 1874(), 2000.
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S. Berchtold, D. A. Keim, H.-P. Kriegel and T. Seidl.
Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High–Dimensional Space.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 12(1):45–57, 2000.
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S. Berchtold, C. Böhm, D. A. Keim, H.-P. Kriegel and X. Xu.
Optimal Multidimensional Query Processing Using Tree Striping.
Proc. 2nd Int. Conf. on Data Warehousing and Knowledge Discovery (DaWaK’00), London, UK, pages 244–257, 2000.
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D. A. Keim, M. Heczko and R. Weber.
Analysis of the Effectiveness-Efficiency Dependance for Image Retrieval.
Proc. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries, 2000.
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S. Conrad, G. Saake, K.-U. Sattler and D. A. Keim.
Informationsfusion-Herausforderungen an die Datenbank- und Visualisierungstechnologie.
Simulation und Visualisierung, Magdeburg, Germany, 2000.
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D. A. Keim.
Designing Pixel-oriented Visualization Techniques: Theory and Applications.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 6(1):59–78, 2000.
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D. A. Keim and A. Hinneburg.
Interesting KDD–News from SIGMOD’99.
SIGKDD Explorations, 1(2):117, 2000.
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1999
D. A. Keim and A. Hinneburg.
Clustering Methods for Large Databases: From the Past to the Future.
SIGMOD Record, 28(2), DOI: 10.1145/304181.304232, 1999.
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A. Hinneburg and D. A. Keim.
Clustering Techniques for Large Data Sets: From the Past to the Future.
KDD ’99: Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, pages 141–181, DOI: 10.1145/312179.312189, 1999.
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D. A. Keim.
Efficient Geometry–based Similarity Search of 3D Spatial Databases.
Proc. ACM SIGMOD Int. Conf. on Management of Data, Philadelphia, PA, ACM Press, pages 419–430, 1999.
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B. Bustos.
Study and Optimization of Shellsort Algorithm.
Proc. of the VII Chilean Computer Science Meeting, pages 44–54, 1999.
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J. Abello, E. R. Gansner, D. A. Keim, E. Koutsofios, S. C. North and R. Truscott.
Visualizing Large-Scale Telecommunication Networks and Services.
Proc. AT&T Software Symposium, 1999.
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D. A. Keim, E. Koutsofios and S. C. North.
Visual Exploration of Large Telecommunication Data Sets.
Proc. 1st Int. Workshop on User Interfaces In Data Intensive Systems (UIDIS’99) (Invited Talk), Edinburgh, Scotland, pages 12–20, 1999.
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D. A. Keim, E. Koutsofios, S. C. North and C. Ganssner.
Visualization Techniques at Work in Large Scale Telecommunication Applications.
Proc. Visualization’99, San Francisco, CA, pages 457–461, 1999.
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E. Koutsofios, S. C. North, R. Truscott and D. A. Keim.
Visualizing Large-Scale Telecommunication Networks and Services (case study).
Proc. IEEE Visualization 1999 (Vis’99), San Francisco, California, USA, pages 457–461, 1999.
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D. A. Keim.
Visual Mining of High-Dimensional Data.
Euro-American Workshop on Visualization of Information and Data, Paris, 1999.
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D. A. Keim.
Visual Data Exploration.
Simulation und Visualisierung ’99, Magdeburg, Germany, pages 397-400, 1999.
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A. Hinneburg, M. Wawryniuk: and D. A. Keim.
HD-Eye: Visual Mining of High-Dimensional Data.
IEEE Computer Graphics & Applications Journal, 19(5):22–31, 1999.
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E. Koutsofios, D. A. Keim and S. C. North.
Visualizing Large Telecommunication Data Sets.
IEEE Computer Graphics & Applications Journal, 19(3):16–19, 1999.
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A. Hinneburg and D. A. Keim.
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering.
Proc. 25th Int. Conf. on Very Large Data Bases (VLDB), Edinburgh, Scotland, pages 506–517, 1999.
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1998
D. A. Keim.
Visual Database Exploration.
1998.
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M. Ankerst, S. Berchtold and D. A. Keim.
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data.
Proceedings of IEEE Symposium on Information Visualization (InfoVis ’98), pages 52–60, 1998.
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S. Berchtold and D. A. Keim.
High–dimensional Index Structures — Database Support for Next Decades’s Applications.
Tutorial at SIGMOD 1998, 1998.
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S. Berchtold, B. Ertl, D. A. Keim, H.-P. Kriegel and T. Seidl.
Fast Nearest Neighbor Search in High–Dimensional Spaces.
Proc. 14th Int. Conf. on Data Engineering (ICDE’98), Orlando, FL, IEEE CS, pages 209–218, 1998.
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S. Berchtold and D. A. Keim.
Section Coding: A Similarity Search Technique for the Car Manufacturing Industry.
Proc. Int. Workshop on Issues and Applications of Database Technology (IADT’98), Berlin, Germany, pages 256–263, 1998.
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S. Berchtold, C. Böhm and H.-P. Kriegel.
Improving the Query Performance of High–Dimensional Index Structures Using Bulk–Load Operations.
Proc.\ 6th Int.\ Conf.\ on Extending Database Technology, (Valencia, Spain), 1998.
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A. Herrmann and D. A. Keim.
The Gridfit Algorithm: An Efficient and Effective Approach to Visualizing Large Amounts of Spatial Data.
Proc. Visualization ’98, Research Triangle Park, NC, pages 181–188, 531, 1998.
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D. A. Keim.
Verwendung von Bildern zur Exploration und Analyse großer Datenmengen.
GI-Jahrestagung, Magdeburg, Germany, Lecture Notes, Springer, 1998.
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A. Hinneburg, D. A. Keim and W. Brandt.
Detecting Relationships between Amino Acid Residue Sequences and 3D Protein Structures based on a New Class of Rotamer Libraries.
Proc. German Conf. on Bioinformatics (GCB’98), Köln, 1998.
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A. Hinneburg, D. A. Keim and W. Brandt.
Detecting dependencies between the 3D-structure of small aminoacid-chains and their sequential context in proteins.
Proc. German Conf. on Bioinformatics (GCB’98), Köln, 1998.
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A. Hinneburg and D. A. Keim.
An Efficient Approach to Clustering in Large Multimedia Databases with Noise.
Proc. 4th Int. Conference on Knowledge Discovery in Databases (KDD’98), New York, NY, pages 58–65, 1998.
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1997
D. A. Keim.
Visual Techniques for Exploring Databases.
Tutorial Slides KDD97, 1997.
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D. A. Keim.
Visual Data Mining.
Tutorial Slides, 1997.
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S. Berchtold, C. Böhm, B. Braunmüller, D. A. Keim and H.-P. Kriegel.
Fast Parallel Similarity Search in Multimedia Databases.
Proc. ACM SIGMOD Int. Conf. on Management of Data, Tucson, AZ (Best Paper Award), ACM Press, pages 1–12, 1997.
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S. Berchtold, D. A. Keim and H.-P. Kriegel.
Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD Datenbanken.
Proc.\ Datenbanksysteme in Büro, Technik und Wissenschaft (BTW’97), Ulm in: Informatik Aktuell, Springer, pages 152–171, 1997.
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S. Berchtold, D. A. Keim and H.-P. Kriegel.
Using Extended Feature Objects for Partial Similarity Retrieval.
VLDB Journal, 6(4):333–348, 1997.
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S. Berchtold, C. Böhm, D. A. Keim and H.-P. Kriegel.
A Cost Model for Nearest Neighbor Search in High–Dimensional Data Space.
Proc. ACM PODS Symp. on Principles of Database Systems, Tuscon, AZ, ACM Press, pages 78–86, 1997.
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D. A. Keim and M. O. Ward.
Screen Layout Methods for Multidimensional Visualization.
Euro-American Workshop on Visualization of Information and Date, Paris, 1997.
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1996
D. A. Keim.
Databases and Visualization.
Tutorial at SIGMOD 1996, 1996.
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D. A. Keim.
Information Visualization.
Tutorial Notes, Postgraduate Course, EPFL, 1996.
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D. A. Keim.
Pixel-oriented Visualization Techniques for Exploring Very Large Databases.
Journal of Computational and Graphical Statistics, 5(1):58–77, 1996.
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D. A. Keim and H.-P. Kriegel.
Visualization Techniques for Mining Large Databases: A Comparison.
Transactions on Knowledge and Data Engineering, pages 923–938, 1996.
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D. A. Keim.
Pixel-oriented Database Visualizations.
SIGMOD Record, Special Issue on Information Visualization, 1996.
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D. A. Keim.
TestVis: A Test Data Generation Tool for Comparing Visual Database Exploration Techniques.
Workshop on Foundations of Advanced Information on Visualization, Italy, 1996.
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M. Ankerst, D. A. Keim and H.-P. Kriegel.
Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets.
Visualization ’96, Hot Topic Session, San Francisco, CA, 1996.
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D. A. Keim and H.-P. Kriegel.
Visualisierung großer Datenbanken.
Data Warehouse und Management Information Systeme, Schäfer–Poeschel Verlag Stuttgart, 1996.
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S. Berchtold, D. A. Keim and H.-P. Kriegel.
The X-Tree: An Index Structure for High–Dimensional Data.
Proc. 22th Int. Conf. on Very Large Databases (VLDB’96), Bombay, India, Morgan Kaufmann, pages 28–39, 1996.
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1995
D. A. Keim and H.-P. Kriegel.
Visualisierungstechniken zur Exploration und Analyse sehr grosser Datenbanken.
Proc. Datenbanksysteme in Büro, Technik und Wissenschaft, Dresden, In Informatik Aktuell, Springer, pages 262–281, 1995.
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D. A. Keim, H.-P. Kriegel and M. Ankerst.
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data.
Proc. Visualization ’95, Atlanta, GA, pages 279–286, 1995.
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D. A. Keim, J. P. Lee, B. Thuraisinghaman and C. Wittenbrink.
Database Issues for Data Visualization: Supporting Interactive Database Exploration.
Lecture Notes in Computer Science, No. 1183, Springer, pages 12–25, 1995.
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D. A. Keim and H.-P. Kriegel.
Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data.
Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995.
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D. A. Keim, R. D. Bergeron and R. M. Pickett.
Test Data Sets for Evaluating Data Visualization Techniques.
Perceptual Issues in Visualization, IFIP Series on Computer Graphics, Springer, 1995.
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D. A. Keim and H.-P. Kriegel.
Issues in Visualizing Large Databases.
Proc. Conf. on Visual Database Systems (VDB’95), Lausanne, Schweiz, März 1995, in: Visual Database Systems, Chapman & Hall Ltd., pages 203–214, 1995.
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D. A. Keim.
Enhancing the Visual Clustering of Query-dependent Database Visualization Techniques using Screen-Filling Curves.
Lecture Notes in Computer Science, No. 1183, Extended Abstract, Springer, pages 101–110, 1995.
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1994
D. A. Keim and H.-P. Kriegel.
VisDB: Database Exploration using Multidimensional Visualization.
IEEE Computer Graphics & Application Journal, 14(5):40–49, 1994.
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D. A. Keim.
Visual Support for Query Specification and Data Mining System.
1994.
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D. A. Keim, H.-P. Kriegel and T. Seidl.
Supporting Data Mining of Large Databases by Visual Feedback Queries.
Proc. 10th Int. Conf. on Data Engineering, Houston, TX, pages 302–313, 1994.
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J. Boyle, S. Eick, M. Hemmje, D. A. Keim, J. P. Lee and E. Sumner.
Database Issues for Data Visualization: Interaction, User Interfaces, and Presentation.
Lecture Notes in Computer Science, No. 871, Springer, pages 210–229, 1994.
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D. A. Keim and H.-P. Kriegel.
VisDB: A System for Visualizing Large Databases.
System Demonstration Proc. ACM SIGMOD Int. Conf. on Managment of Data, San Jose, CA, pages 482, 1994.
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D. A. Keim and H.-P. Kriegel.
Visually Supporting Data Mining of Large Existing Databases.
Lecture Notes in Computer Science, No. 871, Springer, pages 25–34, 1994.
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D. A. Keim and H.-P. Kriegel.
Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems.
Proc. Int. Conf. on Cooperative Information Systems, Toronto, Canada, pages 203–214, 1994.
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1993
D. A. Keim, H.-P. Kriegel and T. Seidl.
Visual Feedback in Querying Large Databases.
Proc. Visualization ’93, San Jose, CA, pages 158–165, 1993.
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D. A. Keim and V. Lum.
GRADI: A Graphical Database Interface for a Multimedia DBMS.
Proc. Int. Workshop on Interfaces to Databases, Glasgow, England, 1992, in: Workshops in Computing, Springer, pages 95–112, 1993.
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D. A. Keim, H.-P. Kriegel and A. Miethsam.
Integration of Relational Databases in a Multidatabase System based on Schema Enrichment.
Proc. 3rd Int. Workshop on Interoperability in Multidatabase Systems, Vienna, Austria, pages 96–104, 1993.
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D. A. Keim, H.-P. Kriegel and A. Miethsam.
Object-Oriented Querying of Existing Relational Databases.
Proc. 4th Int. Conf. on Database and Expert Systems Applications (DEXA’93), Prague, Czech Republic, pages 325–336, 1993.
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1992
V. Lum, D. A. Keim and K.-C. Kim.
Intelligent Natural Language Processing for Media Data Query.
Proc. Int. Golden West Conf. on Intelligent Systems, Reno, NV, pages 257–262, 1992.
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D. A. Keim and V. Lum.
Visual Query Specification in a Multimedia Database System.
Proc. Visualization ’92, Boston, MA, pages 194–201, 1992.
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D. A. Keim and E. S. Prawirohardjo.
Datenbankmaschinen: Performanz durch Parallelität.
B.I. Wissenschaftsverlag, 1992.
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1991
D. A. Keim, K.-C. Kim and V. Lum.
A Friendly and Intelligent Approach to Data Retrieval in a Multimedia Database Management System.
Proc. Int. Conf. on Database and Expert Systems (DEXA’91), Berlin, Germany, pages 102–111, 1991.
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