Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL

Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen

Abstract: The task of subgroup discovery (SD) is to find interpretable descriptions of subsets of a dataset that stand out with respect to a target attribute. To address the problem of mining large numbers of redundant subgroups, subgroup set discovery (SSD) has been proposed. State-of-the-art SSD methods have their limitations though, as they typically heavily rely on heuristics and/or user-chosen hyperparameters.