Visual classification: an interactive approach to decision tree construction
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
RuleViz: a model for visualizing knowledge discovery process
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Interactive Visualization in Mining Large Decision Trees
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Implementation Issues and Paradigms of Visual KDD Systems
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Interactive Decision Tree Construction for Interval and Taxonomical Data
Visual Data Mining
Towards Effective Visual Data Mining with Cooperative Approaches
Visual Data Mining
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We introduce an interactive decision tree construction system, DTViz, which consists of five components and maintains two interaction windows, and attempts to integrate the user's preference and domain knowledge into the construction process.