MASTERING DATA MINING BERRY LINOFF WILEY PDF

Michael J. Berry , Gordon S. 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. The Virtuous Cycle of Data Mining. Data Mining Methodology and Best Practices.

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You are currently using the site but have requested a page in the site. Would you like to change to the site? Gordon S. Linoff , Michael J. When Berry and Linoff wrote the first edition of Data Mining Techniques in the late s, 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.

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.

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.

They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining both from Wiley. They each have decades of experience applying data mining techniques to business problems in marketing and customer relationship management. Request permission to reuse content from this site. Undetected location. NO YES. Selected type: E-Book. Added to Your Shopping Cart.

This is a dummy description. The leading introductory book on data mining, fully updated and revised! 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.

Permissions Request permission to reuse content from this site. Linoff and Michael J.

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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, 3rd Edition

When Berry and Linoff wrote the first edition of Data Mining Techniques in the late s, 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. 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. 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. Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read. I really liked the book both because it is well

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Mastering Data Mining: The Art and Science of Customer Relationship Management

Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read. I really liked the book both because it is well Michael J. Berry , Gordon S. 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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