Foreword
Preface
Acknowledgments

1. Introduction
2. Overview of the Data Mining Process
3. Data Exploration and Dimension Reduction
4. Evaluating Classification and Predictive Performance
5. Multiple Linear Regression
6. Three Simple Classification Methods
7. Classification and Regression trees
8. Logistic Regression
9. Neural Nets
10. Discriminant Analysis
11. Association Rules
12. Cluster Analysis
13. Cases
References
Index