Data Mining Applications with R

Data Mining Applications with R

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by Yanchang Zhao
     
 

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ISBN-10: 012411511X

ISBN-13: 9780124115118

Pub. Date: 12/26/2013

Publisher: Elsevier Science

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,

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. 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.

Product Details

ISBN-13:
9780124115118
Publisher:
Elsevier Science
Publication date:
12/26/2013
Pages:
514
Sales rank:
1,346,595
Product dimensions:
7.70(w) x 9.30(h) x 1.20(d)

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

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