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Data mining applications with R / Yanchang Zhao, Senior Data Miner, RDataMining.com, Australia, Yonghua Cen, Associate Professor, Nanjing University of Science and Technology, China.

EBSCOhost Academic eBook Collection (North America) Available online

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Ebook Central Academic Complete Available online

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O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Zhao, Yanchang, 1977-
Cen, Yonghua, author.
Series:
Gale eBooks
Language:
English
Subjects (All):
Data mining--Industrial applications--Case studies.
Data mining.
R (Computer program language).
Physical Description:
1 online resource (xxi, 470 pages) : illustrations (some color)
Edition:
1st edition
Place of Publication:
Waltham, MA : Academic Press, 2014.
Language Note:
English
System Details:
text file
Summary:
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. Twenty different real-world case studies illustrate various techniques in rapidly growing areas, including: RetailCrime and homeland securityStock mark
Contents:
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.
Notes:
Description based upon print version of record
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9780124115200
0124115209
OCLC:
864746905

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