Publication detail

AprioriItemset - A New Algorithm for Discovering Frequent Itemsets

KOTÁSEK, P. ZENDULKA, J.

Original Title

AprioriItemset - A New Algorithm for Discovering Frequent Itemsets

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

A new algorithm called AprioriItemset for mining association rules is introduced and results of experimental comparison of this algorithm with a well-known algorithm AprioriTid presented.

Keywords

association rule, support, confidence, strong rules, itemset, frequent itemset, k-itemset

Authors

KOTÁSEK, P.; ZENDULKA, J.

Released

1. 1. 1999

Location

Rožnov pod Radhoštěm

ISBN

80-85988-31-3

Book

33rd Spring International Conference Modelling and Simulation of Systems MOSIS'99 Proceedings ISM'99 Information Systems Modelling

Pages from

49

Pages to

56

Pages count

8

BibTex

@inproceedings{BUT191384,
  author="Petr {Kotásek} and Jaroslav {Zendulka}",
  title="AprioriItemset - A New Algorithm for Discovering Frequent Itemsets",
  booktitle="33rd Spring International Conference Modelling and Simulation of Systems MOSIS'99 Proceedings ISM'99 Information Systems Modelling",
  year="1999",
  pages="49--56",
  address="Rožnov pod Radhoštěm",
  isbn="80-85988-31-3"
}