Naslov
Contrast Set Mining through Subgroup Discovery Applied to Brain Ischaemia Data

Autori
Kralj, Petra ; Lavrač, Nada ; Gamberger, Dragan ; Krstačić, Antonija

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

Izvornik
Advances in Knowledge Discovery and Data Mining 11th Pacific-Asia Conference PAKDD 2007 / Zhou, Zhi-Hua ; Li, Hang ; Yang, Qiang - Berlin : Heidelberg : Springer, 2007, 579-586

ISBN
3-540-71700-5

Skup
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007)

Mjesto i datum
Nanjing, Kina, 22.05.2007. - 25.05.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
subgroup discovery; rule learning; contrast set mining

Sažetak
Contrast set mining aims at finding differences between different groups. This paper shows that a contrast set mining task can be transformed to a subgroup discovery task whose goal is to find descriptions of groups of individuals with unusual distributional characteristics with respect to the given property of interest. The proposed approach to contrast set mining through subgroup discovery was successfully applied to the analysis of records of patients with brain stroke (confirmed by a positive CT test), in contrast with patients with other neurological symptoms and disorders (having normal CT test results). Detection of coexisting risk factors, as well as description of characteristic patient subpopulations are important outcomes of the analysis.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Kliničke medicinske znanosti

POVEZANOST RADA