• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 18 Issue 1
Feb.  2005
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Article Contents
GAO Ya, MA Lin, DAI Qi. Algorithms of Mining Fuzzy Association Rules[J]. Journal of Southwest Jiaotong University, 2005, 18(1): 26-29.
Citation: GAO Ya, MA Lin, DAI Qi. Algorithms of Mining Fuzzy Association Rules[J]. Journal of Southwest Jiaotong University, 2005, 18(1): 26-29.

Algorithms of Mining Fuzzy Association Rules

  • Publish Date: 25 Feb 2005
  • To raise the mining efficiency of fuzzy association rules, a redundant fuzzy association rule was defined and the redundant properties of strong fuzzy association rules were analyzed. A new algorithm to raise the mining efficiency by removing redundant fuzzy association rules was proposed. In addition, results obtained by two algorithms,i.e., removing redundant fuzzy association rules or not, were compared respectively with experimental results for the mining of strong fuzzy association rules defined by support and implication degrees. The research result shows that the algorithm of removing redundant fuzzy association rules can raise the mining efficiency.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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