Customer and business analytics : applied data mining for business decision making using R

part I I Purpose and Process -- chapter 1 Database Marketing and Data Mining -- chapter 2 A Process Model for Data Mining—CRISP-DM -- part II II Predictive Modeling Tools -- chapter 3 Basic Tools for Understanding Data -- chapter 4 Multiple Linear Regression -- chapter 5 Logistic Regression -- chapter 6 Lift Charts -- chapter 7 Tree Models -- chapter 8 Neural Network Models -- chapter 9 Putting It All Together -- part III III Grouping Methods -- chapter 10 Ward’s Method of Cluster Analysis and Principal Components -- chapter 11 K-Centroids Partitioning Cluster Analysis.