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Introduction to Data Mining (English)(Chinese Edition) - Softcover

 
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Paperback. Pub Date: 2010 Pages: 769 Publisher: China Machine Press data mining Introduction (English) a comprehensive introduction to the theory and methods of data mining. focusing on the knowledge of how to use data mining to solve various practical problems involving many disciplines. a wide range of applications. The book covers five topics: data classification. association analysis. clustering and anomaly detection. In addition to anomaly detection. each topic contains two chapters: the previous chapter describes the basic concept of representative algorithms and evaluation techniques. the latter chapters more in-depth discussion of advanced concepts and algorithms. The aim is to make the reader a thorough understanding of the data mining based. but also to understand the more advanced topics. Contains a large number of chart examples and exercises. No database backgro...

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MEI TAN SI TAN BA KE KU MA ER
Published by Machinery Industry Press, 2000
ISBN 10: 7111316703 ISBN 13: 9787111316701
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Condition: Acceptable. LIGHTNING FAST SHIPPING! A heavily used, but still working copy. Coffee stain and wrinkling to the edge of the pages when a tired undergrad fell asleep and knocked their cup over on their books. The binding and pages of the book have been reinforced with tape, has tape and stickers on the cover, as well as lots of notes (some of the answers in the learning activities may be filled in) on the pages. Definitely not pretty, but it's a working copy at a great price that ships fast. ~ Book does NOT contain an access code or CD/DVD. Seller Inventory # #205B-0112

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MEI TAN SI TAN BA KE KU MA ER
ISBN 10: 7111316703 ISBN 13: 9787111316701
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MEI TAN SI TAN BA KE KU MA ER
Published by Machinery Industry Press, 2000
ISBN 10: 7111316703 ISBN 13: 9787111316701
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paperback. Condition: New. Paperback. Pub Date: 2010 Pages: 769 Publisher: China Machine Press data mining Introduction (English) a comprehensive introduction to the theory and methods of data mining. focusing on the knowledge of how to use data mining to solve various practical problems involving many disciplines. a wide range of applications. The book covers five topics: data classification. association analysis. clustering and anomaly detection. In addition to anomaly detection. each topic contains two chapters: the. Seller Inventory # CB019253

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