📖 R and Data Mining
Friday, December 21, 2018 by dev
R and Data Mining
By:Yanchang Zhao
Published on 2012-12-31 by Academic Press
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. Presents an introduction into using R for data mining applications, covering most popular data mining techniques Provides code examples and data so that readers can easily learn the techniques Features case studies in real-world applications to help readers apply the techniques in their work
This Book was ranked at 24 by Google Books for keyword mining.
Book ID of R and Data Mining's Books is FEOh08LBD9UC, Book which was written byYanchang Zhaohave ETAG "ydWJ2rCCbpU"
Book which was published by Academic Press since 2012-12-31 have ISBNs, ISBN 13 Code is 9780123972712 and ISBN 10 Code is 012397271X
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Book which have "256 Pages" is Printed at BOOK under CategoryMathematics
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