R and Data Mining: Examples and Case Studies Yangchang Zhao

ISBN: 9780123972712

Published: December 1st 2012

ebook

256 pages


Description

R and Data Mining: Examples and Case Studies  by  Yangchang Zhao

R and Data Mining: Examples and Case Studies by Yangchang Zhao
December 1st 2012 | ebook | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | 256 pages | ISBN: 9780123972712 | 6.35 Mb

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 academiaMoreR 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 techniquesProvides code examples and data so that readers can easily learn the techniquesFeatures case studies in real-world applicationsato help readers apply the techniques in their work



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