Preview of book Data Mining Applications with R

December 3, 2013
By

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

An edited book titled Data Mining Applications with R will be on market soon, which features 15 real-word applications on data mining with R. A preview of the book is available on Google Books. R code, data and color figures for the book can be downloaded at RDataMining.com.

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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