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Autore: | Zhao Yanchang <1977-> |
Titolo: | Data mining applications with R / / Yanchang Zhao, Senior Data Miner, RDataMining.com, Australia, Yonghua Cen, Associate Professor, Nanjing University of Science and Technology, China |
Pubblicazione: | Waltham, MA : , : Academic Press, , 2014 |
Edizione: | 1st edition |
Descrizione fisica: | 1 online resource (xxi, 470 pages) : illustrations (some color) |
Disciplina: | 006.3/12 |
Soggetto topico: | Data mining - Industrial applications |
R (Computer program language) | |
Persona (resp. second.): | CenYonghua |
Note generali: | Description based upon print version of record |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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 |
Titolo autorizzato: | Data mining applications with R |
ISBN: | 0-12-411520-9 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910810464703321 |
Lo trovi qui: | Univ. Federico II |
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