CARTis a robust, easy-to-use decision tree
tool that automatically sifts large, complex databases, searching for and
isolating significant patterns and relationships. This discovered knowledge is
then used to generate reliable, easy-to-grasp predictive models for applications
such as profiling customers, targeting direct mailings, detecting
telecommunications and credit card fraud, and managing credit risk. In addition,
CART is an excellent pre-processing complement to other data analysis
techniques. For example, CART's outputs (predicted values) can be used as
inputs to improve the predictive accuracy of neural nets and logistic
regression.