• DocumentCode
    538662
  • Title

    A Study of Safety Third-Party Logistics Information Management Model Based on Data Mining

  • Author

    Meng, Wanhua

  • Author_Institution
    Econ. & Manage. Dept., Shaoxing Arts & Sci. Coll., Shaoxing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    By illustrating the classification rules and association rules of data mining and taking into consideration of the content and requirement of third-party logistics information management and analyzing the security problems exist in third-party logistics information management, the paper suggests a safety third-party logistics information management model based on data mining. This model could provide better solution to the security problems in logistics information management, and help ensure the security of third-party logistics information management.
  • Keywords
    data mining; information management; logistics data processing; security of data; association rule; classification rule; data mining; security problem; third party logistic information management; association rules; data mining; information management; model; third-party logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
  • Conference_Location
    ChangSha
  • Print_ISBN
    978-0-7695-4286-7
  • Type

    conf

  • DOI
    10.1109/ICDMA.2010.67
  • Filename
    5701115