• DocumentCode
    3517020
  • Title

    Data Mining Applications in Customer Churn Management

  • Author

    KhakAbi, Sahand ; Gholamian, Mohammad R. ; Namvar, Morteza

  • Author_Institution
    Ind. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    27-29 Jan. 2010
  • Firstpage
    220
  • Lastpage
    225
  • Abstract
    According to the lack of a comprehensive literature review in the area of application of data mining in customer churn management, which has become a central issue in customer relationship management nowadays, this paper tackles to provide a brief review of researches in that field from two perspectives: techniques used and statistical reports. From the first point of view, a taxonomy based on the models exploited in papers is provided. The latter perspective gives insight into the trend, place and frequency of publications in the mentioned area. Also some of recent papers are summarized for the sake of interested readers. It is suggested that this paper will point out the gaps and strengths in this research issue, which might be of interest for contributors and researches and business managers respectively.
  • Keywords
    customer relationship management; data mining; customer churn management; customer relationship management; data mining applications; Conference management; Customer relationship management; Data mining; Engineering management; Frequency; Industrial engineering; Intelligent systems; Neural networks; Taxonomy; Technology management; churn management; data mining techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, Modelling and Simulation (ISMS), 2010 International Conference on
  • Conference_Location
    Liverpool
  • Print_ISBN
    978-1-4244-5984-1
  • Type

    conf

  • DOI
    10.1109/ISMS.2010.49
  • Filename
    5416090