• DocumentCode
    2257647
  • Title

    An Algorithm of Dynamic Associate Rule Based on Sliding Windows

  • Author

    Meng, Zhiqing ; Shao, Baosheng ; Jiang, Min

  • Author_Institution
    Coll. of Bus. Adm., Zhejiang Univ. of Technol., Hongzhou, China
  • fYear
    2010
  • fDate
    11-14 Dec. 2010
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    It is well-known that the traditional association rules with time can´t be found out in many algorithms. First, according to concept of dynamic association rules, this paper analyzes the disadvantages of traditional association rules. Then, the concepts of dynamic association rules based on sliding windows and the definition of time vector representation of dynamic association rules are put forward. So, the dynamic association rules can measure out how association rules change over time. Next, a kind of algorithm to mine dynamic association rules on sliding window is proposed. Finally, numerical experiments show that the proposed algorithm is efficient for finding out dynamic association rules with time.
  • Keywords
    data mining; dynamic association rule; sliding window; time vector representation; algorithm; dynamic association rule; sliding windows; time vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2010 International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-9114-8
  • Electronic_ISBN
    978-0-7695-4297-3
  • Type

    conf

  • DOI
    10.1109/CIS.2010.18
  • Filename
    5696230