Počet záznamů: 1

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

  1. 1.
    0352864 - UIVT-O 2011 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
    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]
    Grant CEP: GA MŠk(CZ) 1M06014; GA ČR GA201/08/0802
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: data mining * association rules * meta-learning * atherosclerosis
    Kód oboru RIV: IN - Informatika

    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.
    Trvalý link: http://hdl.handle.net/11104/0192266
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