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

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