Data Mining Applications with R, 1st Edition

  • Published By:
  • ISBN-10: 0124115209
  • ISBN-13: 9780124115200
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 514 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Review Committee.
1: Power Grid Data Analysis with R and Hadoop.
2: Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Optimization.
3: Discovery of Emergent Issues and Controversies in Anthropology Using Text Mining, Topic Modeling, and Social Network Analysis of Microblog Content.
4: Text Mining and Network Analysis of Digital Libraries in R.
5: Recommender Systems in R.
6: Response Modeling in Direct Marketing: A Data Mining-Based Approach for Target Selection.
7: Caravan Insurance Customer Profile Modeling with R.
8: Selecting Best Features for Predicting Bank Loan Default.
9: A Choquet Integral Toolbox and Its Application in Customer Preference Analysis.
10: A Real-Time Property Value Index Based on Web Data.
11: Predicting Seabed Hardness Using Random Forest in R.
12: Supervised Classification of Images, Applied to Plankton Samples Using R and Zooimage.
13: Crime Analyses Using R.
14: Football Mining with R.
15: Analyzing Internet DNS(SEC) Traffic with R for Resolving Platform Optimization.