Data Mining with R Learning with Case Studies 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

* Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems 　　 * Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support 　　 * The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining 　　 * More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining 　　 * Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

这本书可是英美经典书籍。 What you need to know about data mining and data-analytic thinking

作者为Jiawei Han 和 Micheline Kamber，数据挖掘领域经典之作，英文第二版，大部分高校的数据挖掘课的教材。此为其课后习题答案。

Data Mining: Concepts and Techniques 3rd第三版原文 带书签Data Mining: Concepts and Techniques 3rdData Mining: Concepts and Techniques 3rdData Mining: Concepts and Techniques 3rd

David J. Hand Department of Mathematics, Imperial College London, London, UK Data mining is the discovery of interesting, unexpected or valuable structures in large datasets. As such, it has two rather different aspects. One of these concerns large-scale, ‘global’ structures, and the aim is to model the shapes, or features of the shapes, of distributions.

《Learning data mining with python》中文版，图灵程序设计丛书最受欢迎的一本书，本书介绍了数据挖掘的基础知识，基础工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之路。

。本书将介绍数据挖掘与数据库知识发现 的基本知识，以及从大量有噪声、不完整、 甚至是不一致数据集合中，挖掘出有意义的模式知识所涉及的概念与技术方法。

Learning Data Mining With Python book 代码及实例数据

清晰版（非扫描），并且带书签，经典书籍，5分应该很值！