Mining and Post-Processing of Association Rules in the Atherosclerosis Risk Domain
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00352864" target="_blank" >RIV/67985807:_____/10:00352864 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Mining and Post-Processing of Association Rules in the Atherosclerosis Risk Domain
Original language description
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 thathelp 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-642-15019-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Bilbao
Event date
Sep 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000286166000011