Sprache: Englisch
Verlag: Academic Press (edition 1), 2012
ISBN 10: 0123969638 ISBN 13: 9780123969637
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Hardcover. Zustand: NF. Hardback in Near Fine condition without dust jacket. 6 X 0.63 X 9 inches. 256 pages. * Quick Shipping * All Books Mailed in Boxes * Free Tracking Provided * Binding solid, interior clean.
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Sprache: Englisch
Verlag: Academic Press 2013-01-31, 2013
ISBN 10: 0123969638 ISBN 13: 9780123969637
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 256 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, 2012
ISBN 10: 0123969638 ISBN 13: 9780123969637
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 105,73
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Sprache: Englisch
Verlag: Elsevier Science & Technology, Academic Press, 2012
ISBN 10: 0123969638 ISBN 13: 9780123969637
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis.