1.

Record Nr.

UNINA9910453755703321

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

Pubbl/distr/stampa

Amsterdam ; ; Boston : , : Academic Press, an imprint of Elsevier, , [2014]

©2014

ISBN

0-12-411520-9

Edizione

[1st edition]

Descrizione fisica

1 online resource (493 p.)

Altri autori (Persone)

CenYonghua

Disciplina

006.3/12

Soggetti

Data mining - Industrial applications

R (Computer program language)

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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