Subgroup Discovery

Subgroup Discovery is a data mining technique aimed at identifying subgroups within large datasets that exhibit specific characteristics. Its goal is to uncover smaller groups that show significant differences in certain attributes, thereby enabling a deeper understanding of the intrinsic structure and patterns within the data. This method evaluates the homogeneity within subgroups and the heterogeneity between subgroups, providing important applications in areas such as decision support, personalized recommendations, and medical research.