Periodic association mining in a geospatial decision support system

Research output: Contribution to conferencePaper

Abstract

This paper presents an approach for mining partial periodic association rules in temporal databases. This approach allows the discovery of periodic episodes such that the events in an episode are not limited to a fixed order. Moreover, this approach treats the antecedent and consequent of a rule separately and allows time lag between them. Thus, rules discovered are useful in many applications for prediction.

Original languageEnglish (US)
Pages427-428
Number of pages2
DOIs
StatePublished - 2006
Event7th Annual International Conference on Digital Government Research, Dg.o 2006 - San Diego, CA, United States
Duration: May 21 2006May 24 2006

Conference

Conference7th Annual International Conference on Digital Government Research, Dg.o 2006
CountryUnited States
CitySan Diego, CA
Period5/21/065/24/06

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Li, D., & Deogun, J. S. (2006). Periodic association mining in a geospatial decision support system. 427-428. Paper presented at 7th Annual International Conference on Digital Government Research, Dg.o 2006, San Diego, CA, United States. https://doi.org/10.1145/1146598.1146732