Fuzzy association rule mining from spatio-temporal data

Seda Unal Calargun, Adnan Yazici

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The use of fuzzy sets in mining association rules from spatio-temporal databases is useful since fuzzy sets are able to model the uncertainty embedded in the meaning of data. There are several fuzzy association rule mining techniques that can work on spatio-temporal data. Their ability to mine fuzzy association rules has to be compared on a realistic scenario. Besides the performance criteria, other criteria that can express the quality of an association rule discovered shall be specified. In this paper, fuzzy association rule mining is performed with spatio-temporal data cubes and Apriori algorithm. A real life application is developed to compare data cubes and Apriori algorithm according to the following criteria: interpretability, precision, utility, novelty, direct-to-the-point, performance and visualization, which are defined within the scope of this paper.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2008 - International Conference, Proceedings
Pages631-646
Number of pages16
EditionPART 1
DOIs
Publication statusPublished - 2008
EventInternational Conference on Computational Science and Its Applications, ICCSA 2008 - Perugia, Italy
Duration: Jun 30 2008Jul 3 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5072 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Science and Its Applications, ICCSA 2008
Country/TerritoryItaly
CityPerugia
Period6/30/087/3/08

Keywords

  • Association rule mining
  • Association rule mining comparison criteria
  • Data mining
  • Fuzzy association rules
  • Fuzzy spatio-temporal data cube

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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