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Augmentation refers to the techniques used to increase the amount of data. Traditional data augmentation adds slightly different copies of the same dataset to increase data volume. Synthetic data generation is a much better data augmentation tool, since synthetic data generators can generate an arbitrary number of data subjects, keeping the correlations intact. As a result, the augmented dataset is of higher statistical quality.