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This book looks at both classical and modern methods of data mining, such as clustering, discriminate analysis, decision trees, neural networks and support vector machines along with illustrative examples throughout the book to explain the theory of these models. Recent methods such as bagging and boosting, decision trees, neural networks, support vector machines and genetic algorithm are also discussed along with their advantages and disadvantages.
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Business intelligence analysts and statisticians, compliance and financial experts in both commercial and government organizations across all industry sectors will benefit from this book.
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Book Description Condition: New. Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Series: Wiley Series in Computational Statistics. Num Pages: 716 pages, Illustrations, charts, tables. BIC Classification: PBT; UNF. Category: (P) Professional & Vocational. Dimension: 250 x 172 x 53. Weight in Grams: 1340. . 2011. 2nd Edition. Hardcover. . . . . Seller Inventory # V9780470688298
Book Description Hardcover. Condition: new. Seller Inventory # 9780470688298