Preview of book Data Mining Applications with R

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.

• 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