New book announcement: R and Data Mining – Examples and Case Studies

January 23, 2013

(This article was first published on, and kindly contributed to R-bloggers)

R and Data Mining: Examples and Case Studies
Author: Yanchang Zhao
Publisher: Academic Press, Elsevier
Publish date: December 2012
ISBN: 978-0-12-396963-7
Length: 256 pages

This book introduces into using R for data mining with examples and case studies. It contains 1) examples on decision trees, random forest, regression, clustering, outlier detection, time series analysis, association rules, text mining and social network analysis; and 2) three real-world case studies.

Table of Contents and Abstracts:

R Code and Data for the book:

Sample pages on Google Books:

Buy the book on Amazon:

To leave a comment for the author, please follow the link and comment on their blog: offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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