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Data Mining Applications with R de Yanchang Zhao

Data Mining Applications with R

Autor Yanchang Zhao, Yonghua Cen
en Limba Engleză Hardback – 29 dec 2013
An ideal companion for data mining researchers in academia and industry.
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Specificații

ISBN-13: 9780124115118
ISBN-10: 012411511X
Pagini: 514
Dimensiuni: 191 x 235 x 30 mm
Greutate: 1.16 kg
Editura: ELSEVIER SCIENCE

Public țintă

Researchers in academia and industry working in the field of data mining, postgraduate students who are interested in data mining, as well as data miners and analysts from industry. Government agencies, banks, insurance, retail, telecom, medicine and scientific research

Cuprins

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

Recenzii

"The book contains a wealth of modern material that should be covered in more depth in statistics courses: for example, missing data, outlier detection, missing imputation, correlation coefficient matrices, principles of model selection, text mining, and decision trees…The book has many hot and recent packages; many are written or have theory based on results developed since 2010." --MAA.org, April 23, 2014
"Zhao and Cen present 15 real-world applications of data mining with the open-source statistics software R. Each application covers the business background, and problems, data extraction and exploitation, data preprocessing, modeling, model evaluation, findings, and model deployment. They involve a diverse set of challenging problems in terms of data size, data type, data mining goals, and the methodologies and tools to carry out the analysis." --ProtoView.com, February 2014

Descriere

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:

 

  • Retail
  • Crime and homeland security
  • Stock markets
  • Social media
  • Sports
  • Bioinformatics
  • Spatial data analysis
  • Real estate

This book 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.

 

 

 

 

  • 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