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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dr Stephane Tuffery teaches Data Mining and statistics, University Rennes 1, Paris, France.
Translator, Rod Riesco, UK.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 5,25
Da: Regno Unito a: U.S.A.
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Descrizione libro Condizione: 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. . . . . Codice articolo V9780470688298
Descrizione libro Hardcover. Condizione: new. Codice articolo 9780470688298