New book release: Data Mining Applications with R

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Yanchang Zhao

Dec 23, 2013, 8:10:33 AM12/23/13
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. A preview of the book is available on Google Books at R code, data and color figures for the book can be downloaded at

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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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