Result Details

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.
Type
conference paper
Language
English
Authors
Zeman David, Ing., FIT (FIT), DIFS (FIT)
Abstract

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.

Keywords

data mining, association rule, clustering, apriori

Published
2005
Pages
591–595
Proceedings
Proceedings of the 11th conference Student EEICT 2005
Conference
STUDENT EEICT 2005
ISBN
80-214-2890-2
Publisher
Faculty of Information Technology BUT
Place
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"
}
Departments
Department of Information Systems (DIFS)
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