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Condizione: New. pp. 252.
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EUR 55,65
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Aggiungi al carrelloHardcover. Condizione: New. Language:Chinese.Author:Zhao Yangchang.Binding:HardCover.
Da: liu xing, Nanjing, JS, Cina
EUR 72,44
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Aggiungi al carrelloSoft cover. Condizione: New. Language:Chinese.Author:Zhao Yangchang.Binding:Soft Cover.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 60,82
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Da: Revaluation Books, Exeter, Regno Unito
EUR 72,81
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 256 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,00
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 252 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 130,55
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.