R And Data Mining Examples And Case Studies First Edition Yanchang Zhao by Yanchang Zhao 9780123969637, 0123969638 instant download after payment.

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.

 Key
Features:

■ 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