Data Mining Applications with R

By

  • Yanchang Zhao, Senior Data Mining Specialist, Australia
  • Yonghua Cen

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.

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Audience

Researchers in academia and industry working in the field of data mining, postgraduate students who are interested in data mining, as well as data miners and analysts from industry. Government agencies, banks, insurance, retail, telecom, medicine and scientific research.

 

Book information

  • Published: December 2013
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-411511-8


Table of Contents

1. Introduction

2. Case Study in Finance

3.Case Study in Retail

4. Case Study in Telecommunications

5. Case Study in Government

6. Case Study in Crime & Homeland Security

7. Case Study in Stock Market

8. Case Study in Social Welfare

9. Case Study in Social Media

10. Case Study in Sports

11. Case Study in Medicine and Health

12. Case Study in Bioinformatics

13. Case Study in Sentiment Analysis

14. Case Study in Spatial Data Analysis

15. Case Study in Patent Analysis

16. Case Study in Education

17. Case Study in Transport

18. Case Study in Real Estate

Conclusions

Bibliography