Discovering outstanding subgroup lists for numeric targets using MDL

Autor: Manuel Proença, H., Grünwald, P.D., Bäck, T.H.W., Leeuwen, M. van, Hutter, F., Kersting, K., Lijffijt, J., Valera, I.

Publikováno v: Machine learning and knowledge discovery in databases, 19-35. Cham: Springer
STARTPAGE=19;ENDPAGE=35;TITLE=Machine learning and knowledge discovery in databases

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) h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::214d28edd72bd220a8ea655e7ff0a06e
https://doi.org/10.1007/978-3-030-67658-2_2