Contrast Set Mining through Subgroup Discovery Applied to Brain Ischaemia Data (CROSBI ID 528121)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kralj, Petra ; Lavrač, Nada ; Gamberger, Dragan ; Krstačić, Antonija
engleski
Contrast Set Mining through Subgroup Discovery Applied to Brain Ischaemia Data
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.
subgroup discovery; rule learning; contrast set mining
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Podaci o prilogu
579-586-x.
2007.
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objavljeno
Podaci o matičnoj publikaciji
Zhou, Zhi-Hua ; Li, Hang ; Yang, Qiang
Berlin : Heidelberg: Springer
3-540-71700-5
0302-9743
Podaci o skupu
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007)
predavanje
22.05.2007-25.05.2007
Nanjing, Kina