Publication Details

A New Algorithm for Discovery of Frequent Itemsets

KOTÁSEK, P.; ZENDULKA, J. A New Algorithm for Discovery of Frequent Itemsets. Knowledge-Based Software Engineering. Frontiers in Artificial Intelligence and Applications. Smolenice: unknown, 1998. p. 183-186. ISBN: 905199 417 6. ISSN: 0922-6389.

Type

conference paper

Language

English

Authors

Kotásek Petr, Ing.
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)

Keywords

knowledge discovery, data mining, association rule, AprioriTID algorithm, AprioriItemset algorithm

Annotation

An association rule is a statement of a form "64% of customers who buy nappies also buy beer". The key point of mining association rules is discovery of frequent (also called large) itemsets. Several algorithms were developed for this purpose, e.g. Apriori and AprioriTid. A new algorithm called AprioriItemset is presented and compared with AprioriTid in the paper. Experimental results show better execution times of the new algorithm.

Published

1998

Pages

183–186

Journal

Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389

Proceedings

Knowledge-Based Software Engineering

ISBN

905199 417 6

Publisher

unknown

Place

Smolenice

BibTeX

@inproceedings{BUT191389,
  author="Petr {Kotásek} and Jaroslav {Zendulka}",
  title="A New Algorithm for Discovery of Frequent Itemsets",
  booktitle="Knowledge-Based Software Engineering",
  year="1998",
  journal="Frontiers in Artificial Intelligence and Applications",
  pages="183--186",
  publisher="unknown",
  address="Smolenice",
  isbn="905199 417 6",
  issn="0922-6389"
}