Pregled bibliografske jedinice broj: 81318
Expert-Guided Subgroup Discovery: Methodology and Application
Expert-Guided Subgroup Discovery: Methodology and Application // Journal of Artificial Intelligence Research, 17 (2002), 501-527 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 81318 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Expert-Guided Subgroup Discovery: Methodology and Application
Autori
Gamberger, Dragan ; Lavrač, Nada
Izvornik
Journal of Artificial Intelligence Research (1076-9757) 17
(2002);
501-527
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
subgroup discovery; inductive learning
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus