Mining and post-processing of association rules in the atherosclerosis risk domain

Authors:
Petr Berka;Jan Rauch
Affiliations:
Dept. of Information and Knowledge Engineering, University of Economics, Prague, Czech Republic and Centre of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences, Prag ...;Dept. of Information and Knowledge Engineering, University of Economics, Prague, Czech Republic and Centre of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences, Prag ...
Venue:
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Year:
2010

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Abstract

The paper presents a novel approach to post-processing of association rules based on the idea of meta-learning. A subsequent association rule mining step is applied to the results of "standard" association rule mining. We thus obtain "rules about rules" that help to better understand the association rules generated in the first step. A case study of applying this approach to data about atherosclerosis risk is described in the paper.