48 citations · 76 across the 3 of their papers we have counts for
3 papers
Robust subgroup discovery
Hugo Manuel Proença, Peter Grünwald, Thomas Bäck +1
We introduce the problem of robust subgroup discovery, i.e., finding a set of interpretable descriptions of subsets that 1) stand out with respect to one or more target attributes,…
Discovering outstanding subgroup lists for numeric targets using MDL
Hugo M. Proença, Peter Grünwald, Thomas Bäck +1
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 minin…
Interpretable multiclass classification by MDL-based rule lists
Hugo M. Proença, Matthijs van Leeuwen
Interpretable classifiers have recently witnessed an increase in attention from the data mining community because they are inherently easier to understand and explain than their mo…