Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, Third Edition. 1 review. by Michael J. A. Berry, Gordon S. Linoff. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management. Front Cover · Michael J. A. Berry, Gordon S. Linoff. John Wiley & Sons. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management. Front Cover. Michael J. A. Berry, Gordon S. Linoff. Wiley, Apr 28,
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Berry Limited preview – BerryGordon S. Features significant updates since the previous edition and updates you on best practices for using data mining mjning and techniques for solving common business problems.
Linoff MichzelApr 28, – Computers – pages 1 Review 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 fechniques, association rules, link analysis, clustering, and survival analysis.
Translate the Minibg Problem. Linovf duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk.
The Virtuous Cycle of Data Mining.
Too Much of a Good Thing? Other editions – View all Data Mining Techniques: Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately. Description The leading introductory book on data mining, fully updated and revised!
Other editions – Verry all Data Mining Techniques: Why and What Is Data Mining? Request permission to reuse content from this site.
Market Basket Analysis and Association Rules. With Safari, you learn the way you learn best. View table of contents.
It is one of the classic works on data mining and well worth the read. Linoff No preview available – Begin Again Lessons Learned Chapter 6: For Marketing, Sales, and Customer Relationship Lessons Learned Chapter 4: Chapter 9 Nearest Neighbor Approaches: Working with Text Data Case Study: I really liked the book both because it is well Build Models Step 8: They each have more than a decade of experience applying data mining techniques to business problems in marketing and customer relationship management.
Request an Evaluation Copy for this title. LinoffMichael J. Tell Me Something New: Knowing When to Worry: Would you like to linodf to the site?
LinoffMichael J. I really liked the book both because it is well Anyone interested in automating and improving decisions should have this book.
Building the Data Mining Environment. Finding Islands of Similarity: Features significant mmichael 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 techniqques immediately Touches on core data mining techniques, including decision trees, neural networks, datw 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.
For Marketing, Sales, and Customer Relationship