• DocumentCode
    593146
  • Title

    An Efficient Algorithm for Updating Association Rules with Incremental Transactions and Minimum Support Changes Simultaneously

  • Author

    Li Sun ; Yuchen Cai ; Jiyun Li ; Juntao Lv

  • Author_Institution
    Sch. of Comput. Sci. & Technol, Donghua Univ., Shanghai, China
  • fYear
    2012
  • fDate
    6-8 Nov. 2012
  • Firstpage
    166
  • Lastpage
    171
  • Abstract
    This paper proposes a new algorithm FIM_AIUA, which updates association rules with incremental transactions and minimum support changes simultaneously. The algorithm expands FIM algorithm and AIUA algorithm, improves the efficiency and corrects the mistakes of My_IUA algorithm. Moreover, it modifies FIM algorithm with a new argument and presents a new function fim_aiua_gen() that rewrites the function aiua_gen() of AIUA algorithm. Experiments with real transaction data of a supermarket show that our proposed algorithm FIM_AIUA is efficient and outperforms both My_IUA algorithm and Apriori algorithm.
  • Keywords
    data mining; AIUA algorithm; FIM algorithm; FIM_AIUA; association rules; incremental transactions; minimum support; real transaction data; Algorithm design and analysis; Association rules; Equations; Face; Itemsets; Association Rules; Data Mining; Incremental Transaction; Minimum Support Change;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2012 Third Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-3072-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2012.42
  • Filename
    6449509