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Attribute Creation (Feature Generation)

  • Create new attributes (features) that can capture the important information in a data set more effectively than the original ones
  • Three general methodologies
    • Attribute extraction
      • Domain-specific
    • Mapping data to new space (see: data reduction)
      • E.g., Fourier transformation, wavelet transformation, manifold approaches (not covered)
    • Attribute construction
      • Combining features (see: discriminative frequent patterns in Chapter 7)
      • Data discretization

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