Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A visualization tool for interactive learning of large decision trees
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
IEEE Transactions on Software Engineering
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The purpose of our work described in this paper is to develop and put a synergistic visualization of data and knowledge into the knowledge discovery process in order to support an active participation of the user. We introduce the knowledge discovery system D2MS in which several visualization techniques of data and knowledge are developed and integrated into the steps of the knowledge discovery process.