RSD: relational subgroup discovery through first-order feature construction

Authors:
Nada Lavrač;Filip Železny;Peter A. Flach
Affiliations:
Institute Jožef Stefan, Ljubljana, Slovenia;Czech Technical University, Prague, Czech Republic;University of Bristol, Bristol, UK
Venue:
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Year:
2002

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Abstract

Relational rule learning is typically used in solving classification and prediction tasks. However, relational rule learning can be adapted also to subgroup discovery. This paper proposes a propositionalization approach to relational subgroup discovery, achieved through appropriately adapting rule learning and first-order feature construction. The proposed approach, applicable to subgroup discovery in individual-centered domains, was successfully applied to two standard ILP problems (East-West trains and KRK) and a real-life telecommunications application.