# Preview of book Data Mining Applications with R

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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*

To

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