Temporal Association Rules in Mining Method

  • Authors:
  • Hui Ning;Haifeng Yuan;Shugang Chen

  • Affiliations:
  • Harbin Engineering University, China;Helongjiang Institute of Science and Technology, China;Harbin Engineering University, China

  • Venue:
  • IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
  • Year:
  • 2006

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Abstract

This paper first overviews the concept of temporal association rules mining associated methods. It proposes an innovative approach of data mining for temporal association rules mining. According to the ordinary related rules, our method considers the time-constrains. Finally, the paper provides the performance estimation of this algorithm.