document: PaintingClass : interactive construction , visualization and exploration of decision trees Decision trees are commonly used for classification . We propose to use decision trees not just for classification but also for the wider purpose of knowledge discovery , because visualizing the decision tree can reveal much valuable information in the data . We introduce PaintingClass , a system for interactive construction , visualization and exploration of decision trees . PaintingClass provides an intuitive layout and convenient navigation of the decision tree . PaintingClass also provides the user the means to interactively construct the decision tree . Each node in the decision tree is displayed as a visual projection of the data . Through actual examples and comparison with other classification methods , we show that the user can effectively use PaintingClass to construct a decision tree and explore the decision tree to gain additional knowledge .
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