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Data Reduction Strategies
- Data reduction: Obtain a reduced representation of the data set that is much smaller in volume but yet produces the same (or almost the same) analytical results
- Why data reduction? — A database/data warehouse may store terabytes of data. Complex data analysis may take a very long time to run on the complete data set.
- Data reduction strategies
- Dimensionality reduction, e.g., remove unimportant attributes
- Wavelet transforms
- Principal Components Analysis (PCA)
- Feature subset selection, feature creation
- Numerosity reduction (some simply call it: Data Reduction)
- Regression and Log-Linear Models
- Histograms, clustering, sampling
- Data cube aggregation
- Data compression
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