Publication detail

Discovering New Techniques in Association Rule Mining

ZEMAN, D.

Original Title

Discovering New Techniques in Association Rule Mining

English Title

Discovering New Techniques in Association Rule Mining

Type

conference paper

Language

en

Original 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.

English 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

RIV year

2005

Released

28.04.2005

Publisher

Faculty of Information Technology BUT

Location

Brno

ISBN

80-214-2890-2

Book

Proceedings of the 11th conference Student EEICT 2005

Pages from

591

Pages to

595

Pages count

5

Documents

BibTex


@inproceedings{BUT21520,
  author="David {Zeman}",
  title="Discovering New Techniques in Association Rule Mining",
  annote="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.",
  address="Faculty of Information Technology BUT",
  booktitle="Proceedings of the 11th conference Student EEICT 2005",
  chapter="21520",
  institution="Faculty of Information Technology BUT",
  year="2005",
  month="april",
  pages="591--595",
  publisher="Faculty of Information Technology BUT",
  type="conference paper"
}