• DocumentCode
    1590661
  • Title

    Improvement of Apriori algorithm for association rules

  • Author

    Xiaohui, Li

  • Author_Institution
    College of Computer Science and Technology, Changchun University, Jilin, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on the analysis of principle and efficiency on Apriori algorithm, this paper points out its defects and presents an improved Apriori algorithm. The new algorithm can decrease the I/O operation of the process of mining by means of decreasing the times of database searching. It is shown by the experimental result that the improved algorithm is much more efficient than the traditional algorithm in being applied to mining association rule.
  • Keywords
    Apriori algorithm; Association rule; Data mining; Frequent itemsets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321691