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Data Mining with Rattle and R

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Publication:5199002
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DOI10.1007/978-1-4419-9890-3zbMath1267.68008OpenAlexW2499178474MaRDI QIDQ5199002

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Publication date: 11 August 2011

Full work available at URL: https://doi.org/10.1007/978-1-4419-9890-3

zbMATH Keywords

model buildingdata miningdata refinementmodel evaluationdata preparationdata understandinghands-on end-to-end process


Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Theory of data (68P99) General topics in the theory of data (68P01)


Related Items

The single-index support vector regression model to address the problem of high dimensionality, Detection of outliers in high-dimensional data using nu-support vector regression, Online Variational Learning for Medical Image Data Clustering, Non-sparseϵ-insensitive support vector regression for outlier detection, rattle


Uses Software

  • mclust
  • R
  • lattice
  • fBasics
  • Hmisc
  • odfWeave
  • DAAG
  • foreign
  • RODBC
  • ROCR
  • rggobi
  • reshape
  • ggplot2
  • rpart
  • RGtk2
  • arules
  • mboost
  • Kernlab
  • gbm
  • caret
  • ada
  • ISwR
  • AER
  • DAAGxtras
  • gdata
  • latticist
  • RGtk2Extras
  • caTools
  • maptree
  • DescribeDisplay
  • siatclust


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