• DocumentCode
    2248776
  • Title

    The improvement of PHP algorithm for association rules

  • Author

    Huansong, Yang ; Suntao, Qin

  • Author_Institution
    Hangzhou Inst. of Service Eng., Hangzhou Normal Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    404
  • Lastpage
    407
  • Abstract
    The first step of detecting relating rule is a process at the cost of much system resource, so the total performance of detecting relating rule is determined by this step. The main goal of existing algorithms at present is focused on the efficiency of this step. DHP and PHP are included in those algorithms and these two algorithms are the transmutations of Apriori algorithm to improve its validity. PHP is developed based on DHP and it saves the CPU running time of DHP effectively. It is useful in improving the efficiency of detecting relating rule in commercial database by developing PHP algorithms to reduce the CPU calculating time.
  • Keywords
    data mining; Apriori algorithm; DHP algorithm; PHP algorithm; association rules; relating rule detection; Asia; Association rules; Automatic control; Control systems; Data mining; Databases; Informatics; Itemsets; Robot control; Robotics and automation; Data digging; Improved; PHP algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456721
  • Filename
    5456721