Data Mining Techniques

Michael J. A. Berry

出版社

Wiley

出版时间

2004-04-09

ISBN

9780471470649

评分

★★★★★
书籍介绍

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

精彩摘录
  • "...build a model based on people who had ever responded to any offer in the past. Such a model would be good for discriminating between people who refuse all telemarketing calls and throw out all junk mail, and those who occasionally respond to some offers. These types of models are called nonrespon"
  • "When missing values must be replaced, the best approach is to impute them by creating a model that has the missing value as its target variable."
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