Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. "Data Mining: Concepts and Techniques" equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases. Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage ...
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Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. "Data Mining: Concepts and Techniques" equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases. Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success. "Data Mining: Concepts and Techniques" is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms. The classroom features that are available online include: instructor's manual - course slides (in PowerPoint) - course supplementary readings - sample assignments and course projects. It offers a comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data. It is organized as a series of stand-alone chapters so you can begin anywhere and immediately apply what you learn. It presents dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects. It provides in-depth, practical coverage of essential data mining topics, including OLAP and data warehousing, data preprocessing, concept description, association rules, classification and prediction, and cluster analysis. It addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields.
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Seller's Description:
Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine. Ex-library book with stamps on the first page, it is also likely to have a small shelf number sticker on the spine.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1250grams, ISBN: 9781558604896.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1250grams, ISBN: 9781558604896.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1250grams, ISBN: 9781558604896.
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Fair. Item in acceptable condition including possible liquid damage. As well answers may be filled in. May be missing DVDs, CDs, Access code, etc. 100%Money-Back Guarantee! Ship within 24 hours! !
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Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Seller's Description:
Very good in very good dust jacket. Ex-library. Sewn binding. Cloth over boards. 550 p. Morgan Kaufmann Series in Data Management Systems. Audience: General/trade.
