C4.5: programs for machine learning
C4.5: programs for machine learning
PaintingClass: interactive construction, visualization and exploration of decision trees
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
VDM-RS: A visual data mining system for exploring and classifying remotely sensed images
Computers & Geosciences
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Decision trees are one of the most popular methods of data mining. Decision trees partition large amounts of data into smaller segments by applying a series of rules. Creating and evaluating decision trees benefits greatly from visualization of the trees and diagnostic measures of their effectiveness. This paper describes an application, EMTree Results Viewer, that supports decision tree analysis through the visualization of model results and diagnosis. The functionality of the application and the visualization techniques are revealed through an example of churn analysis in the telecommunications industry.