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ZEMAN, D.
Originální název
Discovering New Techniques in Association Rule Mining
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
data mining, association rule, clustering, apriori
Autoři
Rok RIV
2005
Vydáno
28. 4. 2005
Nakladatel
Faculty of Information Technology BUT
Místo
Brno
ISBN
80-214-2890-2
Kniha
Proceedings of the 11th conference Student EEICT 2005
Strany od
591
Strany do
595
Strany počet
5
BibTex
@inproceedings{BUT21520, author="David {Zeman}", title="Discovering New Techniques in Association Rule Mining", booktitle="Proceedings of the 11th conference Student EEICT 2005", year="2005", pages="591--595", publisher="Faculty of Information Technology BUT", address="Brno", isbn="80-214-2890-2" }