• DocumentCode
    532045
  • Title

    Research on prediction model and fuzzy rules extraction in Maersk´s customer management

  • Author

    Yu, Tian ; Zhang Iinna ; Youfang, Huang

  • Author_Institution
    Coll. of Logistics Eng., Shanghai Maritime Univ., Shanghai, China
  • Volume
    8
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The advent of data mining has contributed significantly to the field of customer management. The payment center in Maersk finds that it´s difficult to charge customers for the balance due. Thus the research on the application of artificial neural networks in classification of data mining will be conducted in this paper. Since the knowledge captured by neural networks is represented at a sub-symbolic level in terms of connections and weights, the paper aims at not only designing an artificial neural network prediction model for the time of delay payment but also extracting fuzzy production rules, a humanly understandable representation for neural networks. The simple rules with high predictive accuracy rules really help the enterprise to solve customer management to a certain degree.
  • Keywords
    customer relationship management; data mining; fuzzy set theory; knowledge representation; neural nets; pattern classification; Maersk; artificial neural network; customer management; data mining; fuzzy rules extraction; knowledge representation; Book reviews; Decision making; Delay; Discharges; Loading; artificial neural networks; customer management; data mining; fuzzy rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619356
  • Filename
    5619356