New book release: Data Mining Applications with R

December 23, 2013

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

Book title: Data Mining Applications with R
Editors: Yanchang Zhao, Yonghua Cen
Publisher: Elsevier
Publish date: December 2013
ISBN: 978-0-12-411511-8
Length: 514 pages

An edited book titled Data Mining Applications with R was released in December 2013, which features 15 real-word applications on data mining with R.

Book preview:

R code, data and color figures for the book:

Buy the book on
– Amazon:
– Elsevier:
– Google Books:

Below is its table of contents.

Graham Williams

Chapter 1 Power Grid Data Analysis with R and Hadoop
Terence Critchlow, Ryan Hafen, Tara Gibson and Kerstin Kleese van Dam

Chapter 2 Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization
Giorgio Maria Di Nunzio and Alessandro Sordoni

Chapter 3 Discovery of emergent issues and controversies in Anthropology using text mining, topic modeling and social network analysis of microblog content
Ben Marwick

Chapter 4 Text Mining and Network Analysis of Digital Libraries in R
Eric Nguyen

Chapter 5 Recommendation systems in R
Saurabh Bhatnagar

Chapter 6 Response Modeling in Direct Marketing: A Data Mining Based Approach for Target Selection
Sadaf Hossein Javaheri, Mohammad Mehdi Sepehri and Babak Teimourpour

Chapter 7 Caravan Insurance Policy Customer Profile Modeling with R Mining
Mukesh Patel and Mudit Gupta

Chapter 8 Selecting Best Features for Predicting Bank Loan Default
Zahra Yazdani, Mohammad Mehdi Sepehri and Babak Teimourpour

Chapter 9 A Choquet Ingtegral Toolbox and its Application in Customer’s Preference Analysis
Huy Quan Vu, Gleb Beliakov and Gang Li

Chapter 10 A Real-Time Property Value Index based on Web Data
Fernando Tusell, Maria Blanca Palacios, María Jesús Bárcena and Patricia Menéndez

Chapter 11 Predicting Seabed Hardness Using Random Forest in R
Jin Li, Justy Siwabessy, Zhi Huang, Maggie Tran and Andrew Heap

Chapter 12 Supervised classification of images, applied to plankton samples using R and zooimage
Kevin Denis and Philippe Grosjean

Chapter 13 Crime analyses using R
Madhav Kumar, Anindya Sengupta and Shreyes Upadhyay

Chapter 14 Football Mining with R
Maurizio Carpita, Marco Sandri, Anna Simonetto and Paola Zuccolotto

Chapter 15 Analyzing Internet DNS(SEC) Traffic with R for Resolving Platform Optimization
Emmanuel Herbert, Daniel Migault, Stephane Senecal, Stanislas Francfort and Maryline Laurent

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...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)