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| 【原 书 名】 Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management |
| 【原出版社】 Wiley |
| 【作 者】Olivia Parr Rud [同作者作品] [作译者介绍] |
| 【丛 书 名】 英文原版系列图书 |
| 【出 版 社】 Wiley 【书 号】 0471385646 |
| 【上架时间】 2008-4-8 |
| 【出版日期】 2000 年11月 【开 本】 16开 【页 码】 367 【版 次】1-1 |
| 【所属分类】 | 计算机 > 计算机科学理论与基础知识 > 综合 进口图书 > 原版科技 |
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Book information:
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.
Book Index:
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.
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