- Walking Wales: the visualisation challenge
- Word Clouds: Can they be misleading?
- VIPS-Visual Interactive Parameter Steering
- Confirmation bias : do multiple views really help?
- Visual Query Interface for Infrastructure Networks
- MADucator – Matrix Educator
- Concensus Matrix Sort
- Multiscale Multiples: An Overview+Detail Interface for Small Multiples
- Analyzing Image Similarity to Detect Disguised Plagiarism
- Tackling the Multi-Analyst Problem in Soccer: How to Improve Collaborative Pattern Detection in Team Sports
- MDSQ – Quality Assessment of Distance-Preserving Projections
- Internal Quality Measures for Subspace Clusterings
- Exploration of Datasets for Visualizations of High-Dimensional Data
- Search and Visual Exploration of Scientific Literature
- Star Glyph – Optimal Dimension Layout
- Visual Analytics of Molecular Neurochemicals and Biological Markers in Mental Illness
- Ensembles of classifiers: Visual construction of classification models
- Cutting-Down the Complexity of Parallel Coordinates Plots in High-Dimensional Data
- Investigating Analytic Behavior in VA
- Hierarchical Matrix Visualization
- Realisierung und Evaluierung einer stereoskopischen 3D Perspective Wall Umgebung für verlinkte Informationsvisualisierung (Master)
- Combination of Matrices + Graphs
- TreeMap Evaluation
- Visual Analysis of Language Change over Time
- Visual Parameter Space Analysis of Topic Models
|Theoretical (Analytical):||(4 / 5)|
|Practical (Implementation):||(5 / 5)|
|Literature Work:||(3 / 5)|
Small Multiples help spotting patterns and are a prominent technique to show temporal behavior or different facets of data. They are typically seen in static print rather than integrated into a dynamic and interactive environment. However, the major issue with Small Multiples is that by definition they are very small and thus hide details. This thesis aims at integrating Small Multiples into an interactive Overview-and-Detail environment allowing to drill down to details but at the same time provide overview.
- Get familiar with state of the art aggregation techniques
- Derive a suitable set of examples
- Implement a basic interactive small multiple infrastructure
- Implement and case study the set of examples
- Advanced knowledge in web-based development of visualizations (this thesis goes beyond copy and pasting d3.js examples)
- Basic knowledge of aggregation techniques such as edge bundling or binning
- Scope: Bachelor (3 months project + 3 months thesis)
- Envisioning Information [Edward Tufte, 1990].
- Space-scale Diagrams: Understanding Multiscale Interfaces [George W. Furnas and Benjamin B. Bederson, 1995].