Detail publikačního výsledku

Discovering New Techniques in Association Rule Mining

ZEMAN, D.

Originální název

Discovering New Techniques in Association Rule Mining

Anglický název

Discovering New Techniques in Association Rule Mining

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

data mining, association rule, clustering, apriori

Autoři

ZEMAN, D.

Rok RIV

2011

Vydáno

28.04.2005

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"
}