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Mining and Post-Processing of Association Rules in the Atherosclerosis Risk Domain
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SYSNO ASEP 0352864 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Mining and Post-Processing of Association Rules in the Atherosclerosis Risk Domain Author(s) Berka, Petr (UIVT-O)
Rauch, Jan (UIVT-O)Source Title Information Technology in Bio- and Medical Informatics. - Berlin : Springer, 2010 / Khuri S. ; Lhotská L. ; Pisanti N. - ISSN 0302-9743 - ISBN 978-3-642-15019-7 Pages s. 110-117 Number of pages 8 s. Action ITBAM 2010. International Conference on Information Technology in Bio- and Medical Informatics /1./ Event date 01.09.2010-02.09.2010 VEvent location Bilbao Country ES - Spain Event type WRD Language eng - English Country DE - Germany Keywords data mining ; association rules ; meta-learning ; atherosclerosis Subject RIV IN - Informatics, Computer Science R&D Projects 1M06014 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA201/08/0802 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000286166000011 EID SCOPUS 78049472284 DOI 10.1007/978-3-642-15020-3_11 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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