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Data Mining Applications with R - Yanchang Zhao

Data Mining Applications with R

By: Yanchang Zhao, Yonghua Cen

eText | 26 November 2013

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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.

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
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You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceMachine LearningComputer Programming & Software DevelopmentProgramming & Scripting LanguagesDatabasesData Mining

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