An improved definition of multidimensional inter-transaction association rule

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Association rule is an important contribution to the data mining field from the database research community, and its mining has become a promising research topic. Traditional association rule is limited to intra-transaction mining. Recently the concept of multidimensional inter-transaction association rule (MDITAR) is proposed by H.J. Lu. Based on analysis of inadequencies of Lu’s definition, this paper introduces a modified and extended definition of MDITAR, which consequently makes MDITAR more general, practical and reasonable.

Original languageEnglish
Title of host publicationMethodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings
EditorsNing Zhong, Lizhu Zhou
PublisherSpringer Verlag
Pages104-108
Number of pages5
ISBN (Print)3540658661, 9783540658665
DOIs
StatePublished - 1999
Externally publishedYes
Event3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999 - Beijing, China
Duration: 26 Apr 199928 Apr 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1574
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999
Country/TerritoryChina
CityBeijing
Period26/04/9928/04/99

Keywords

  • Data mining
  • Definition
  • Multidimensional inter-transaction association rule (MDITAR)
  • Multidimensional transaction database

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