Conference paper

ZEMAN David. Discovering New Techniques in Association Rule Mining. In: Proceedings of the 11th conference Student EEICT 2005. Brno: Faculty of Information Technology BUT, 2005, pp. 591-595. ISBN 80-214-2890-2.
Publication language:english
Original title:Discovering New Techniques in Association Rule Mining
Title (cs):Nové techniky dolování asociačních pravidel
Pages:591-595
Proceedings:Proceedings of the 11th conference Student EEICT 2005
Conference:STUDENT EEICT 2005
Place:Brno, CZ
Year:2005
ISBN:80-214-2890-2
Publisher:Faculty of Information Technology BUT
Keywords
data mining, association rule, clustering, apriori
Annotation
This paper shows some new procedures and ideas in data mining. We try to find new ways, how to improve and speed up the process of extracting associations from databases. We want to show specific problems of mining association rules in multimedia databases, trying to discover and describe weak point of the whole process, propose new algortihm and introduce chance of using clustering analysis to accelerate the data mining.
BibTeX:
@INPROCEEDINGS{
   author = {David Zeman},
   title = {Discovering New Techniques in Association Rule Mining},
   pages = {591--595},
   booktitle = {Proceedings of the 11th conference Student EEICT 2005},
   year = {2005},
   location = {Brno, CZ},
   publisher = {Faculty of Information Technology BUT},
   ISBN = {80-214-2890-2},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7822}
}

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