• DocumentCode
    2228888
  • Title

    An multi-process association rules mining algorithm based on message queue

  • Author

    Ruzhi, Xu ; Sai, Yang ; Chao, Yang ; Junwei, Jiang ; Cheng, Liu

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Shandong Univ. of Finance, Jinan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    The issue of association rules mining is deeply discussed in this paper. An association rules mining algorithm based on message queue is presented after summarizing the advantages and disadvantages of current mining algorithms. This method firstly uses process management component to create the processes of mining association rules and then uses the message queue to communicate the frequent itemsets of every process to improve the parallel processing capability. The principle and steps of this method are given, the experimental results show that the algorithm is efficient and effective.
  • Keywords
    data mining; parallel algorithms; message queue; multiprocess association rules mining algorithm; parallel processing capability; process management component; Irrigation; Itemsets; Association Rules; Data Mining; Message Queue; Process Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579560
  • Filename
    5579560