Supporting Factors to Improve the Explanatory Potential of Contrast Set Mining: Analyzing Brain Ischaemia Data (CROSBI ID 529070)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lavrač, Nada ; Kralj, Petra ; Gamberger, Dragan ; Krstačić, Antonija
engleski
Supporting Factors to Improve the Explanatory Potential of Contrast Set Mining: Analyzing Brain Ischaemia Data
The goal of exploratory pattern mining is to find patterns that exhibit yet unknown relationships in data and to provide insightful representations of detected relationships. This paper explores contrast set mining and an approach to improving its explanatory potential by using the so called supporting factors that provide additional descriptions of the detected patterns. The proposed methodology is described in a medical data analysis problem of distinguishing between similar diseases in the analysis of patients suffering from brain ischaemia.
exploratory induction; subgroup discovery; brain ischaemia
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Podaci o prilogu
157-161-x.
2007.
objavljeno
Podaci o matičnoj publikaciji
Jarm, Tomaz ; Kramar Peter ; Zupanic, Anze
Springer
978-3-540-73043-9
1727-1983
Podaci o skupu
11th Mediterranean Conference on Medical and Biological Engineering and Computing
predavanje
26.06.2007-30.06.2007
Ljubljana, Slovenija