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Michael J. A. Berry
人物简介:
Data Mining Techniques书籍相关信息
- ISBN:9780471470649
- 作者:Michael J. A. Berry / Gordon S. Linoff
- 出版社:A Wiley-QED Publication
- 出版时间:2004-4-9
- 页数:643
- 价格:USD 50.00
- 纸张:暂无纸张
- 装帧:Paperback
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:Researchers, Data Scientists, Data Analysts, Statisticians, IT Professionals, Business Analysts, Students in Computer Science and Statistics, and anyone interested in learning advanced data analysis techniques
- TAG:statistics / data analysis / Machine Learning / Data Science / predictive modeling / Algorithms / Analytics / Big Data
- 豆瓣评分:8.3
- 更新时间:2025-05-17 02:57:56
内容简介:
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
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