Data Mining Applications with R
Data 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 real-world 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.
Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining Topic Modeling and Social Ne
Text Mining and Network Analysis of Digital Libraries in R
Recommender Systems in R
Response Modeling in Direct Marketing A Data MiningBased Approach for Target Selection
Caravan Insurance Customer Profile Modeling with R
Selecting Best Features for Predicting Bank Loan Default
A RealTime Property Value Index Based on Web Data
Predicting Seabed Hardness Using Random Forest in R
Supervised Classification of Images Applied to Plankton Samples Using R and Zooimage
Crime Analyses Using R
Football Mining with R
Analyzing Internet DNSSEC Traffic with R for Resolving Platform Optimization
A Choquet Integral Toolbox and Its Application in Customer Preference Analysis