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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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Seller: medimops, Berlin, Germany
Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Seller Inventory # M0B0046W8Q4K-G
Seller: liu xing, Nanjing, JS, China
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