• Title of article

    Mining the text information to optimizing the customer relationship management

  • Author/Authors

    Chang، نويسنده , , Che-Wei and Lin، نويسنده , , Chin-Tsai and Wang، نويسنده , , Lian-Qing، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    11
  • From page
    1433
  • To page
    1443
  • Abstract
    Customer data warehouse and mining are able to provide the structure of recording of the whole customers’ information, the flow of detecting the important customers systematically, the change of identifying the individual and valuable customers in the whole name list of customers or discovering the royal customers. Generally speaking, it is no doubt that “customer relationship” is one of the most important factors to construct the core of competitiveness, especial in service industries for running business forever. Therefore, the objective of this research is to apply the data warehouse and data mining technologies to analyze the customers’ behavior in order to form the right of customers’ profile and it growth model under Internet and e-commerce environment. This could provide the best service model owing to the enounced of customer-orientation and making more effective marketing strategy. Consequently, a case study will be presented to verify the feasibility and effectiveness of the approach proposed in this research.
  • Keywords
    DATA MINING , Decision tree , CRm , Content analysis method , Data warehouse
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2009
  • Journal title
    Expert Systems with Applications
  • Record number

    2345141