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Data Mining Techniques : For Marketing, Sales, and Customer Relationship Management 🔍
Gordon S. Linoff; Michael J. A. Berry Wiley Computer Publishing [Imprint] John Wiley & Sons, Incorporated, John Wiley & Sons, Inc., Indianapolis, Ind, 2011
英语 [en] · PDF · 50.9MB · 2011 · 📗 未知类型的图书 · 🚀/ia · Save
描述
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised— is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.
Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.
备选作者
Linoff, Gordon S., Berry, Michael J. A.
备选作者
Linoff, Gordon S; Berry, Micahel J. A
备选作者
Michael J Berry; Gordon S Linoff
备用出版商
Indianapolis, IN: Wiley Pub.
备用出版商
Spectrum Publications
备用出版商
Halsted Press
备用版本
3rd ed., Indianapolis, IN, Indiana, 2011
备用版本
United States, United States of America
备用版本
3rd ed, Indianapolis, IN, cop. 2011
备用版本
3rd ed, Hoboken, April 2011
备用版本
Hoboken, N.J, 2013
备用版本
3, 2011-03-23
元数据中的注释
Obscured text on back cover due to sticker attached.
元数据中的注释
Berry's name appears first on the 2nd ed.
Includes index.
备用描述
<p>The leading introductory book on data mining, fully updated and revised!</p>
<p>When Berry and Linoff wrote the first edition of <i>Data Mining Techniques</i> in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised—&nbsp;is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.&nbsp;</p>
<ul>
<li>Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems</li>
<li>Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately</li>
<li>Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more</li>
<li>Provides best practices for performing data mining using simple tools such as Excel</li>
</ul>
<p><i>Data Mining Techniques, Third Edition</i> covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.</p>
备用描述
<p>The leading introductory book on data mining, fully updated and revised!<br></p><p>When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised—is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.<br></p><ul> <li>Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems </li> <li>Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately </li> <li>Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more </li> <li>Provides best practices for performing data mining using simple tools such as Excel </li></ul><p>Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.<br></p>
备用描述
Annotation The leading introductory book on data mining, fully updated and revised!When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new editionmore than 50% new and revisedis a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problemsCovers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediatelyTouches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and moreProvides best practices for performing data mining using simple tools such as ExcelData Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results
备用描述
xl, 847 p. : 24 cm
Berry's name appears first on the 2nd ed
Includes index
开源日期
2023-06-28
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