• DocumentCode
    402872
  • Title

    The study of association algorithm BGL based on binary system and oriented graph

  • Author

    Liu, Wen-yuan ; Liu, Yong-shan ; Liu, Lina ; Fang, Shu-fen

  • Author_Institution
    Dept. of Inf., YanShan Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    172
  • Abstract
    The actuality of current algorithms in mining association rule is analyzed in this paper. A new algorithm, based on binary and graph, is put forward. The main idea and realization project of the algorithm are introduced detailed here. Then, comparing the performance of all kinds of algorithms proves the new algorithm having improved the efficiency of mining rules.
  • Keywords
    data mining; graphs; association rules algorithm; binary system; data mining; oriented graph; Algorithm design and analysis; Association rules; Data mining; Indexes; Information analysis; Itemsets; Machine learning algorithms; Performance analysis; Technology management; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264465
  • Filename
    1264465