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.
- 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
- 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