Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Contrast Set Mining

Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_173


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 & Pazzani, 2001). In this context, groups are the properties of interest.

Recommended Reading

  1. Bay, S.D., & Pazzani, M. J. (2001). Detecting group differences: Mining contrast sets. Data Mining and Knowledge Discovery, 5(3), 213–246.zbMATHGoogle Scholar

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