Data mining applications with R /
By: Zhao, Yanchang
Title By: Cen, Yonghua
Material type:
BookPublisher: Amsterdam ; Boston : Elsevier, 2014; ©2014.Description: xxi, 470 p. : ill. ; 25 cm.ISBN: 9780124115118Subject(s): Data mining -- Industrial applications -- Case studies | R (Computer program language)DDC classification: 006.3/12 Online resources: Location Map | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 ZH DA (Browse shelf) | Available | T0012806 |
, Shelving location: Main Collection Close shelf browser
|
|
|
|
No cover image available |
|
|
||
| 006.312 WI DA Data mining with Rattle and R : | 006.312 WI DA Data mining with Rattle and R : | 006.312 WI DA Data mining : | 006.312 ZH DA Data mining applications with R / | 006.32 AD VA Advances in system optimization and control : | 006.32 GR PR Principles of artificial neural networks | 006.32 HA NE Neural networks : |
Includes bibliographical references and index.
Machine generated contents note: 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.
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. 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