Publication Details

Mining association rules from databases

KOTÁSEK Petr. Mining association rules from databases. In: Milovy, 1997.

Type

conference paper

Language

english

Authors

Kotásek Petr, Ing. (DCSE FEECS BUT)

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

1997

Place

Milovy, CZ

BibTeX

@INPROCEEDINGS{FITPUB6032,
   author = "Petr Kot\'{a}sek",
   title = "Mining association rules from databases",
   year = 1997,
   location = "Milovy, CZ",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/6032"
}