ABSTRACT

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

part I|2 pages

I Purpose and Process

chapter 1|14 pages

Database Marketing and Data Mining

chapter 2|14 pages

A Process Model for Data Mining—CRISP-DM

part II|2 pages

II Predictive Modeling Tools

chapter 3|48 pages

Basic Tools for Understanding Data

chapter 4|36 pages

Multiple Linear Regression

chapter 5|30 pages

Logistic Regression

chapter 6|18 pages

Lift Charts

chapter 7|22 pages

Tree Models

chapter 8|14 pages

Neural Network Models

chapter 9|32 pages

Putting It All Together

part III|2 pages

III Grouping Methods