Expert-Guided Subgroup Discovery: Methodology and Application

Details Expert-Guided Subgroup Discovery: Methodology and Application Expert-Guided Subgroup Discovery: Methodology and Application

2011-06-22

arxiv.org/abs/1106.4576v1

Journal Of Artificial Intelligence Research, Volume 17, pages 501-527, 2002

Computer Science

Artificial Intelligence

Scientific paper

10.1613/jair.1089

This paper presents an approach to expert-guided subgroup discovery. The main step of the subgroup discovery process, the induction of subgroup descriptions, is performed by a heuristic beam search algorithm, using a novel parametrized definition of rule quality which is analyzed in detail. The other important steps of the proposed subgroup discovery process are the detection of statistically significant properties of selected subgroups and subgroup visualization: statistically significant properties are used to enrich the descriptions of induced subgroups, while the visualization shows subgroup properties in the form of distributions of the numbers of examples in the subgroups. The approach is illustrated by the results obtained for a medical problem of early detection of patient risk groups.

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