**blog.RDataMining.com**, 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

URL: http://www.rdatamining.com/books/dmar

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: http://books.google.com.au/books?id=nYpqAAAAQBAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0.

R code, data and color figures for the book: http://www.rdatamining.com/books/dmar/code

Buy the book on

– Amazon: http://www.amazon.com/Data-Mining-Applications-Yanchang-Zhao/dp/012411511X

– Elsevier: http://store.elsevier.com/Data-Mining-Applications-with-R/Yanchang-Zhao/isbn-9780124115118/

– Google Books: http://books.google.com.au/books/about/Data_Mining_Applications_with_R.html?id=nYpqAAAAQBAJ

Below is its table of contents.

Foreword

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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