Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Visualizing association rules with interactive mosaic plots
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Useful properties of Semantic Depth of Field for better F+C visualization
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Visual hierarchical dimension reduction for exploration of high dimensional datasets
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Simple 3D Glyphs for Spatial Multivariate Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Parallel Sets: Interactive Exploration and Visual Analysis of Categorical Data
IEEE Transactions on Visualization and Computer Graphics
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
Working with patterns in large multivariate datasets - Karnaugh-Veitch-Maps revisited
IV '07 Proceedings of the 11th International Conference Information Visualization
Intelligent Visual Analytics Queries
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
VIEW'06 Proceedings of the 1st first visual information expert conference on Pixelization paradigm
Manual clustering refinement using interaction with blobs
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Visual Verification of Hypotheses
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
A reference model for adaptive visualization systems
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
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The derivation, manipulation and verification of analytical models from raw data is a process which requires a transformation of information across different levels of abstraction. We introduce a concept for the coupling of data classification and interactive visualization in order to make this transformation visible and steerable for the human user. Data classification techniques generate mappings that formally group data items into categories. Interactive visualization includes the user into an iterative refinement process. The user identifies and selects interesting patterns to define these categories. The following step is the transformation of a visible pattern into the formal definition of a classifier. In the last step the classifier is transformed back into a pattern that is blended with the original data in the same visual display. Our approach allows in intuitive assessment of a formal classifier and its model, the detection of outliers and the handling of noisy data using visual pattern-matching. We instantiated the concept using decision trees for classification and KVMaps as the visualization technique. The generation of a classifier from visual patterns and its verification is transformed from a cognitive to a mostly pre-cognitive task.