• DocumentCode
    3499088
  • Title

    An Improved Algorithm for Apriori

  • Author

    Changsheng, Zhang ; Zhongyue, Li ; Dongsong, Zheng

  • Author_Institution
    Comput. Inst., Wenzhou Univ., Wenzhou
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    995
  • Lastpage
    998
  • Abstract
    In this paper, we studied the Apriori Algorithm and its performance, which is used to mine association rules. The algorithm for reducing the size of the candidate-itemsets is optimized. Meanwhile, the performance of algorithm is improved to reduce I/O spending by cutting down unnecessary transaction records.
  • Keywords
    data mining; apriori algorithm; association rule mining; candidate-itemset; data mining; Association rules; Clustering algorithms; Computer science; Computer science education; Data mining; Educational technology; Frequency; Itemsets; Transaction databases; Visual databases; Apriori algorithm; association rule; candidate-itemsets; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.227
  • Filename
    4958931