R and Data Mining: Examples and Case Studies

R and Data Mining: Examples and Case Studies
by: Yanchang Zhao
ISBN-10: 0123969638
ISBN-13: 9780123969637
Edition 版本:‏ 1
Released: 2012-12-25
Pages: 256
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