Data Mining Applications with RData Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different realworld case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. R code, Data and color figures for the book are provided at the RDataMining.com website.

What people are saying  Write a review
Contents
1  
35  
Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining Topic Modeling and Social Ne  63 
Text Mining and Network Analysis of Digital Libraries in R  95 
Recommender Systems in R  117 
Response Modeling in Direct Marketing A Data MiningBased Approach for Target Selection  153 
Caravan Insurance Customer Profile Modeling with R  181 
Selecting Best Features for Predicting Bank Loan Default  229 
A RealTime Property Value Index Based on Web Data  273 
Predicting Seabed Hardness Using Random Forest in R  299 
Supervised Classification of Images Applied to Plankton Samples Using R and Zooimage  331 
Crime Analyses Using R  367 
Football Mining with R  397 
Analyzing Internet DNSSEC Traffic with R for Resolving Platform Optimization  435 
457  
A Choquet Integral Toolbox and Its Application in Customer Preference Analysis  247 