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Data mining applications with R [Libro electrónico] / Yanchang Zhao, Yonghua Cen

Por: Zhao, Yanchang [autor/a].
Cen, Yonghua [autor/a].
Tipo de material: Libro en línea Libro en línea Editor: Amsterdam, The Netherlands: Elsevier Academic Press, c2013Descripción: xxi, 470 páginas : ilustraciones ; 25 centímetros.ISBN: 9780124115118.Tema(s): Data mining -- Industrial applications -- Case studies | R (Computer program language)Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografia e índice: páginas 457-470 Número de sistema: 54716Contenidos:Mostrar Resumen:
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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.

Recurso en línea: http://www.sciencedirect.com/science/book/9780124115118
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Incluye bibliografia e índice: páginas 457-470

Data Mining Applications with R, 1st Edition.. 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

Disponible para usuarios de ECOSUR con su clave de acceso

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. eng

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