Parallel coordinates for visualizing multi-dimensional geometry
CG International '87 on Computer graphics 1987
Visualizing P-flats in N-space using parallel coordinates
Visualizing P-flats in N-space using parallel coordinates
C4.5: programs for machine learning
C4.5: programs for machine learning
Visualization and analysis of multi-variate data: a technique for all fields
VIS '91 Proceedings of the 2nd conference on Visualization '91
Post-analysis of learned rules
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
ACM Computing Surveys (CSUR)
Distributed mining of classification rules
Knowledge and Information Systems
FlexiMine – A Flexible Platform for KDD Research and Application Development
Annals of Mathematics and Artificial Intelligence
Interactive comprehensible data mining
Ambient Intelligence for Scientific Discovery
Artificial Intelligence in Medicine
The role of intelligent agents and data mining in electronic partnership management
Expert Systems with Applications: An International Journal
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WinViz uses parallel coordinates, a computational geometry method, to let users visually formulate queries and analyze results. When integrated with machine-learning algorithms, WinViz provides a powerful tool for data mining.