Data Mining Applications with R

  • 8h 19m
  • Yanchang Zhao
  • Elsevier Science and Technology Books, Inc.
  • 2014

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. The book

  • Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries
  • Presents various case studies in real-world applications, which will help readers to apply the techniques in their work
  • Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

In this Book

  • Foreword
  • Power Grid Data Analysis with R and Hadoop
  • Picturing Bayesian Classifiers—A Visual Data Mining Approach to Parameters Optimization
  • Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining, Topic Modeling, and Social Network Analysis of Microblog Content
  • Text Mining and Network Analysis of Digital Libraries in R
  • Recommender Systems in R
  • Response Modeling in Direct Marketing—A Data Mining-Based Approach for Target Selection
  • Caravan Insurance Customer Profile Modeling with R
  • Selecting Best Features for Predicting Bank Loan Default
  • A Choquet Integral Toolbox and Its Application in Customer Preference Analysis
  • A Real-Time 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 DNS(SEC) Traffic with R for Resolving Platform Optimization
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