• DocumentCode
    3136311
  • Title

    Application Research on Fast Discovery of Association Rules Based on Air Transportation

  • Author

    Hong-Bo, Jiang ; De-Li, Yang

  • Author_Institution
    Dalian Univ. of Technol., Dalian
  • fYear
    2007
  • fDate
    9-11 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper the popular Apriori algorithm and its improvements were introduced and a great many complex data in air transportation were used to fast discover the association rules. For too many rules are produced in the traditional association rules and the Apriori algorithm is not used widely, this paper chooses the improvement algorithm to prune redundant rules based on traditional association rules, which simplifies the rules and overcomes the disadvantages of traditional association rules, like the redundant rules and difficult application.
  • Keywords
    airports; data mining; freight handling; transportation; travel industry; Apriori algorithm; air transportation; airport freight system; association rules; Air transportation; Airports; Algorithm design and analysis; Association rules; Data mining; Databases; Information analysis; Marketing and sales; Satellite broadcasting; Technology management; Apriori algorithm; Association rules; Confidence; Support;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2007 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    1-4244-0885-7
  • Electronic_ISBN
    1-4244-0885-7
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2007.4280165
  • Filename
    4280165