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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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