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Data mining applications with R
~
Cen, Yonghua.
Data mining applications with R
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data mining applications with R/ Yanchang Zhao, Senior Data Miner, RDataMining.com, Australia, Yonghua Cen, Associate Professor, Nanjing University of Science and Technology, China.
Author:
Zhao, Yanchang,
other author:
Cen, Yonghua.
Published:
Amsterdam ;Elsevier, : 2014.,
Description:
xxi, 470 p. :ill. ; : 25 cm.;
Subject:
Data mining - Case studies. - Industrial applications -
Online resource:
http://www.sciencedirect.com/science/book/9780124115118
ISBN:
9780124115118 (electronic bk.)
Data mining applications with R
Zhao, Yanchang,1977-
Data mining applications with R
[electronic resource] /Yanchang Zhao, Senior Data Miner, RDataMining.com, Australia, Yonghua Cen, Associate Professor, Nanjing University of Science and Technology, China. - Amsterdam ;Elsevier,2014. - xxi, 470 p. :ill. ;25 cm.
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.
ISBN: 9780124115118 (electronic bk.)
LCCN: 2013047814Subjects--Topical Terms:
1004007
Data mining
--Industrial applications--Case studies.
LC Class. No.: QA76.9.D343 / Z526 2014
Dewey Class. No.: 006.3/12
Data mining applications with R
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Yanchang Zhao, Senior Data Miner, RDataMining.com, Australia, Yonghua Cen, Associate Professor, Nanjing University of Science and Technology, China.
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Amsterdam ;
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Elsevier,
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xxi, 470 p. :
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Includes bibliographical references and index.
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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.
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http://www.sciencedirect.com/science/book/9780124115118
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