• DocumentCode
    1830424
  • Title

    The research of customer loss question of logistics enterprise based on the data mining

  • Author

    Ji, Shouwen ; Chen, Jiajuan ; Wang, Yunpeng

  • Volume
    1
  • fYear
    2005
  • fDate
    13-15 June 2005
  • Firstpage
    227
  • Abstract
    The definition, importance of customer loss analysis of logistics enterprise was introduced briefly. The model procedure of customer loss analysis of logistics enterprise was studied, and the model of customer loss analysis was made by using data mining policy-making tree method. The actual experiment was done to test the model, the loss characters were found by analyzing the information of a railway logistics company customer. The result is useful to make precaution tactics and methods against customer loss.
  • Keywords
    customer satisfaction; data mining; logistics; transportation; customer loss analysis; data mining; logistics enterprise; policy-making tree method; railway logistics company customer; Companies; Costs; Customer service; Data analysis; Data mining; Information analysis; Logistics; Rail transportation; Standards organizations; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on
  • Print_ISBN
    0-7803-8971-9
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2005.1499466
  • Filename
    1499466