Sciweavers

Share
PAKDD
2007
ACM

Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data

9 years 20 days ago
Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data
Abstract. 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.
Petra Kralj, Nada Lavrac, Dragan Gamberger, Antoni
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where PAKDD
Authors Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic
Comments (0)
books