Mining and Post-Processing of Association Rules in the Atherosclerosis Risk Domain

0352864 - ÚI 2011 RIV DE eng C - Conference Paper (international conference)
Berka, Petr - Rauch, Jan
Mining and Post-Processing of Association Rules in the Atherosclerosis Risk Domain.
Information Technology in Bio- and Medical Informatics. Berlin: Springer, 2010 - (Khuri, S.; Lhotská, L.; Pisanti, N.), s. 110-117. Lecture Notes in Computer Science, 6266. ISBN 978-3-642-15019-7. ISSN 0302-9743.
[ITBAM 2010. International Conference on Information Technology in Bio- and Medical Informatics /1./. Bilbao (ES), 01.09.2010-02.09.2010]
R&D Projects: GA MŠMT(CZ) 1M06014; GA ČR GA201/08/0802
Institutional research plan: CEZ:AV0Z10300504
Keywords : data mining * association rules * meta-learning * atherosclerosis
Subject RIV: IN - Informatics, Computer Science

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.
Permanent Link: http://hdl.handle.net/11104/0192266