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R and Data Mining

Language EnglishEnglish
Book Hardback
Book R and Data Mining Yangchang Zhao
Libristo code: 01238224
Publishers Elsevier Books, December 2012
R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using... Full description
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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. It presents an introduction into using R for data mining applications, covering most popular data mining techniques. It provides code examples and data so that readers can easily learn the techniques. It features case studies in real-world applications to help readers apply the techniques in their work.

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About the book

Full name R and Data Mining
Language English
Binding Book - Hardback
Date of issue 2012
Number of pages 256
EAN 9780123969637
ISBN 0123969638
Libristo code 01238224
Publishers Elsevier Books
Weight 512
Dimensions 155 x 236 x 22
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