上传Wiley的一本ebook《Data Mining CookBook》

是e文版的，主要讲数据挖掘的在客户关系管理和市场风险预测方面的建模方法。

本书的可贵之处在于使用了大量的SAS实例代码演示数据挖掘的实践经验，深入浅出、要言不烦。




Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questionsIn order to find new ways to improve customer sales and support, and aswell as manage risk, business managers must be able to mine companydatabases. This book provides a step-by-step guide to creating andimplementing models of the most commonly asked data mining questions.Readers will learn how to prepare data to mine, and develop accuratedata mining questions. The author, who has over ten years of datamining experience, also provides actual tested models of specific datamining questions for marketing, sales, customer service and retention,and risk management. A CD-ROM, sold separately, provides these modelsfor reader use.


Acknowledgments.

Foreword.

Introduction.

About the Author.

About the Contributors.

PLANNING THE MENU.

Setting the Objective.

Selecting the Data Sources.

THE COOKING DEMONSTRATION.

Preparing the Data for Modeling.

Selecting and Transforming the Variables.

Processing and Evaluating the Model.

Validating the Model.

Implementing and Maintaining the Model.

RECIPES FOR EVERY OCCASION.

Understanding Your Customer: Profiling and Segmentation.

Targeting New Prospects: Modeling Response.

Avoiding High-Risk Customers: Modeling Risk.

Retaining Profitable Customers: Modeling Churn.

Targeting Profitable Customers: Modeling Lifetime Value.

Fast Food: Modeling on the Web.

Appendix A: Univariate Analysis for Continuous Variables.

Appendix B: Univariate Analysis for Categorical Variables.