• DocumentCode
    2573522
  • Title

    Research on cross-selling in the express delivery enterprise based on data mining

  • Author

    Huang, Jingyun ; Ji, Shouwen ; Xie, Haiyao ; Wang, Xiaohua

  • Author_Institution
    Transp. Sch., Beijing Jiaotong Univ., Beijing
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The enterprises which provide express delivery services must have high regard for customer and offer good services to improve the customer service level. As a newly thought of marketing, cross-selling can improve the economic benefits of enterprises and strengthen the relation between enterprise and customer. The model of cross-selling of express delivery business is established by using two data mining algorithms, association rule abstracting algorithm and decision tree classification algorithm, which are used in cross-selling analysis. The actual experiment is done, and the result shows the methods are effecting for express delivery business.
  • Keywords
    customer services; data mining; decision trees; marketing data processing; association rule abstracting algorithm; cross-selling; customer service; data mining; decision tree classification algorithm; express delivery enterprise; marketing; Banking; Companies; Customer service; Data mining; Decision making; Genetic algorithms; Logistics; Marketing and sales; Sustainable development; Transportation; Cross-selling; Data mining; Express delivery business;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2008 International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-1671-4
  • Electronic_ISBN
    978-1-4244-1672-1
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2008.4598443
  • Filename
    4598443