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This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations.
Key Features:
Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.
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.
Key Features:
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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Description du livre hardback. Etat : New. Language: ENG. N° de réf. du vendeur 9780470688298
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Description du livre Etat : 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. . . . . N° de réf. du vendeur V9780470688298
Description du livre Hardcover. Etat : new. N° de réf. du vendeur 9780470688298