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Data Mining Applications with R

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Title: Data Mining Applications with R
Description: 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
Authors: Yanchang Zhao, Yonghua Cen
Resource Type: eBook.
Subjects: R (Computer program language), Data mining--Industrial applications--Case studies
Categories: COMPUTERS / Languages / General, COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
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PubType: eBook
PubTypeId: ebook
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  Data: Data Mining Applications with R
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  Data: 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
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  Data: <searchLink fieldCode="AR" term="%22Yanchang+Zhao%22">Yanchang Zhao</searchLink><br /><searchLink fieldCode="AR" term="%22Yonghua+Cen%22">Yonghua Cen</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining--Industrial+applications--Case+studies%22">Data mining--Industrial applications--Case studies</searchLink>
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RecordInfo BibRecord:
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    Classifications:
      – Code: 006.312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Data mining--Industrial applications--Case studies
        Type: general
    Titles:
      – TitleFull: Data Mining Applications with R
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Yanchang Zhao
      – PersonEntity:
          Name:
            NameFull: Yonghua Cen
      – PersonEntity:
          Name:
            NameFull: Yanchang Zhao
      – PersonEntity:
          Name:
            NameFull: Yonghua Cen
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780124115118
            – Type: isbn-electronic
              Value: 9780124115200
          Titles:
            – TitleFull: Data Mining Applications with R
              Type: main
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