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

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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management Wiley Computer Publishing; 2 edition | April 9, 2004 | ISBN-10: 0471470643 | 672 pages | PDF | 13.6 MB The unparalleled author team of Berry and Linoff are back with an invaluable revised edition to their groundbreaking text The world of data mining has changed tremendously since the publication of the first edition of Data Mining Techniques in 1997. For the most part, the underlying algorithms have remained the same, but the software in which the algorithms are imbedded, the databases to which they are applied, and the business problems they are used to solve have all grown and evolved. With that in mind, Michael Berry and Gordon Linoff the leading authorities on the use of data mining techniques for business applications have written a new edition to show you how to harness fundamental data mining methods and techniques to solve common types of business problems. Berry and Linoff s years of hands-on data mining experience is reflected in every chapter of this extensively updated and revised edition. They discuss core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis. In addition, they provide an overview of data mining best practices. no mirrors Filepost

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

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