本书共15章，分两个部分：基础篇、实战篇。基础篇介绍了数据挖掘的基本原理，实战篇介绍了一个个真实案例，通过对案例深入浅出的剖析，使读者在不知不觉中通过案例实践获得数据挖掘项目经验，同时快速领悟看似难懂的数据挖掘理论。读者在阅读过程中，应充分利用随书配套的案例建模数据，借助相关的数据挖掘建模工具，通过上机实验，以快速理解相关知识与理论。(There are 15 chapters in this book, which are divided into two parts: the basic chapter and the actual combat chapter. The basic chapter introduces the basic principles of data mining, and the actual combat section introduces a real case. Through the analysis of the cases, the readers can gain the experience of data mining projects through the case practice unconsciously, and quickly understand the seemingly difficult theory of data mining. In the process of reading, readers should make full use of the case modeling data provided with the book, with the help of relevant data mining modeling tools, and through computer experiments, to quickly understand the relevant knowledge and theory.)