Naslov
Descriptive induction through subgroup discovery: A case study in a medical domain

Autori
Gamberger, Dragan ; Lavrač, Nada

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of International Conference of Machine Learning (ICML2002) / Sammut, Claude; Hoffman, Achim - San Francisco (CA) : Morgan Kaufmann Publishers, 2002, 163-170

Skup
International Conference of Machine Learning (ICML2002)

Mjesto i datum
Sydney, Australija, 08.07.2002. - 12.07.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
subgroup discovery; inductive learning

Sažetak
This paper presents an approach to descriptive induction based on a combination of subgroup discovery, statistical characterization of induced subgroups, and their visualization. Subgroup discovery is performed using a novel heuristic confirmation rule induction algorithm. Induced subgroup descriptions are enriched by adding statistically significant properties of detected subgroups. Subgroup visualization can be used to present the distribution of detected subgroups in terms of selected properties. The approach is illustrated by the results obtained for the problem of early detection of patient groups with risk for atherosclerotic coronary heart disease.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA