| This is a compact data mining program. Incorporating an extensive help system, an analyst does not need to be an expert in mathematics or data mining. All results are presented visually, giving the user immediate views of the important factors resulting from the analysis.
Using a graphical representation of the decision tree, users can quickly see the rules and statistics used to generate each node. You can completely customize the display by changing colors, fonts and picture orientation.
Scoring code is immediately available and ready for implementation in your data warehouse. The Allegheny Decision Tree is a user implementation of the Classification and Regression Tree (CART) and the Chi-Square Automatic Interaction Detection (CHAID) algorithms for predictive modeling.
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