Data Mining Applications with R

Publisher Elsevier Science

Format

eBook

2nd Edition 1st Edition

Quantity

Add New

Publisher

Elsevier Science

Volume

Copyright

2013

ISBN13

9780124115200

Release

Format

eBook

Grade Level

College Freshman - College Senior

DDC
TBD

Overview

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.
Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
Preface.
Acknowledgments.
Review Committee.
Foreword.
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.
Index.
Read More Read Less

Data Mining Applications with R

Product Details

Overview

Table of Contents