Genetic fuzzy systems for subgroup discovery. Models and applications

The problem of subgroup discovery which can be defined as: Given a population of individuals and a property of those individuals, we are interested in finding a population of subgroups as large as possible and in having the most unusual statistical characteristic with respect to the property of interest. Subgroup discovery is well suited for finding such dependencies, i.e., discovering relations between a dependent variable (target variable) and (several) independent variables. The discovered subgroup patterns must essentially satisfy two conditions. First, they have to be interpretable for the analyst, and second they need to be interesting according to the criteria of the user. The discovery of (interesting) subgroups has a high practical relevance in all domains of science or business.