Detail výsledku

Discovering New Techniques in Association Rule Mining

ZEMAN, D. Discovering New Techniques in Association Rule Mining. Proceedings of the 11th conference Student EEICT 2005. Brno: Faculty of Information Technology BUT, 2005. p. 591-595. ISBN: 80-214-2890-2.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Zeman David, Ing., FIT (FIT), UIFS (FIT)
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

Rok
2005
Strany
591–595
Sborník
Proceedings of the 11th conference Student EEICT 2005
Konference
STUDENT EEICT 2005
ISBN
80-214-2890-2
Vydavatel
Faculty of Information Technology BUT
Místo
Brno
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"
}
Pracoviště
Ústav informačních systémů (UIFS)
Nahoru