Data mining applications with R
(eBook)
Author:
Contributors:
Published:
Amsterdam ; Boston : Academic Press, an imprint of Elsevier, [2014].
Format:
eBook
ISBN:
9780124115200
Physical Desc:
1 online resource (493 pages) : illustrations
Status:
Ebrary (CCU)
Description
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.
Copies
Ebrary (CCU)
Citations
APA Citation (style guide)
Zhao, Y., & Cen, Y. (2014). Data mining applications with R. Amsterdam ; Boston, Academic Press, an imprint of Elsevier.
Chicago / Turabian - Author Date Citation (style guide)Zhao, Yanchang, 1977- and Yonghua. Cen. 2014. Data Mining Applications With R. Amsterdam ; Boston, Academic Press, an imprint of Elsevier.
Chicago / Turabian - Humanities Citation (style guide)Zhao, Yanchang, 1977- and Yonghua. Cen, Data Mining Applications With R. Amsterdam ; Boston, Academic Press, an imprint of Elsevier, 2014.
MLA Citation (style guide)Zhao, Yanchang and Yonghua Cen. Data Mining Applications With R. Amsterdam ; Boston, Academic Press, an imprint of Elsevier, 2014.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Language:
English
Notes
Bibliography
Includes bibliographical references and index.
Local note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Staff View
Grouped Work ID:
5f15e626-0fda-4a69-1080-8c22974e5793
Record Information
Last File Modification Time | Jan 04, 2024 04:54:40 PM |
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Last Grouped Work Modification Time | May 07, 2024 08:57:32 PM |
MARC Record
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100 | 1 | |a Zhao, Yanchang,|d 1977- | |
245 | 1 | 0 | |a Data mining applications with R /|c Yanchang Zhao, Senior Data Miner, RDataMining.com, Australia, Yonghua Cen, Associate Professor, Nanjing University of Science and Technology, China. |
264 | 1 | |a Amsterdam ;|a Boston :|b Academic Press, an imprint of Elsevier,|c [2014] | |
264 | 4 | |c 2014 | |
300 | |a 1 online resource (493 pages) :|b illustrations | ||
336 | |a text|2 rdacontent | ||
337 | |a computer|2 rdamedia | ||
338 | |a online resource|2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 8 | |a 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. | |
588 | |a Description based on print version record. | ||
590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Data mining|x Industrial applications|v Case studies. | |
650 | 0 | |a R (Computer program language) | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Cen, Yonghua. | |
776 | 0 | 8 | |i Print version:|a Zhao, Yanchang.|t Data mining applications with R.|d Amsterdam : Academic Press, an imprint of Elsevier, [2014]|h xxi, 470 pages|z 9780124115118|w (DLC)17967189 |
797 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/cochristuniv-ebooks/detail.action?docID=1574448|z Click to View |