Definition
Contrast set mining is an area of supervised descriptive rule induction. The contrast set mining problem is defined as finding contrast sets, which are conjunctions of attributes and values that differ meaningfully in their distributions across groups (Bay and Pazzani 2001). In this context, groups are the properties of interest.
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References
Bay SD, Pazzani MJ (2001) Detecting group differences: mining contrast sets. Data Mining Knowl Discov 5(3):213–246
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(2017). Contrast Set Mining. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_173
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_173
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