Contents:

Preface.
1. Dimension Reduction Methods.

2. Regression Modeling.

3. Multiple Regression and Model Building.

4. Logistic Regression.

5. Naïve Bayes and Bayesian Networks.

6. Genetic Algorithms.

7. Case Study: Modeling Response to Direct-Mail Marketing.

Index.