Encyclopedia of Machine Learning

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

Subgroup Discovery

Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_797


Subgroup discovery (Klösgen, 1996; Lavrač, Kavšek, Flach, & Todorovski, 2004) is an area of  supervised descriptive rule induction. The subgroup discovery task is defined as given a population of individuals and a property of those individuals that we are interested in, find population subgroups that are statistically “most interesting,” for example, are as large as possible and have the most unusual statistical (distributional) characteristics with respect to the property of interest.

Recommended Reading

  1. Klösgen, W., (1996). Explora: A multipattern and multistrategy discovery assistant. In Advances in knowledge discovery and data mining (pp. 249–271). Cambridge: MIT Press.Google Scholar
  2. Lavrač, N., Kavšek, B., Flach, P. A., & Todorovski, L. (2004). Subgroup discovery with CN2-SD. Journal of Machine Learning Research, 5, 153–188.Google Scholar

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