• DocumentCode
    2980504
  • Title

    Research on Decision of Air Cargo Strategy Based on Data Mining

  • Author

    Li Yuewen

  • Author_Institution
    Sch. of Manage., Shanghai Univ. of Eng. Sci., Shanghai, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    4085
  • Lastpage
    4089
  • Abstract
    This article mines the air cargo customer information and establishes the decision tree of the ID3 association rules from the ID3 algorithm. It finds frequent customer information using Apriori algorithm and finally gets the best combination of customer information. The combination has some significance on the development of air cargo.
  • Keywords
    customer profiles; data mining; decision trees; freight handling; travel industry; ID3 association rule; air cargo customer information; air cargo strategy; apriori algorithm; data mining; decision tree; Association rules; Classification algorithms; Customer satisfaction; Decision trees; Entropy; Itemsets; Apriori algorithm; ID3 algorithm; customer information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.993
  • Filename
    5629913