Allegheny Decision Trees Description:

This application encapsulates the details of technical algorithms, offering compact data mining program that is intuitive, clear, and easy-to-use. 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. Completely customize the display by changing colors, fonts, picture orientation, or even copy the image to the clipboard for display in another software tool.

Scoring code is immediately available and ready for implementation in your data warehouse. This results in a faster implementation of your decision results.

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 available as part of the ParaTree Component Library.