• DocumentCode
    2191188
  • Title

    Research Method of Customer Churn Crisis Based on Decision Tree

  • Author

    Ma Hongxia ; Qin Min

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper tells the basic concept of customer churn crisis. It provides a method of customer churn crisis based on decision tree. Also it describes how to apply the decision tree method analyzing the basic business customer information to get the characteristics of the customer churn and customer churn rules. Based on this analysis, businesses can improve customer relations in a targeted manner and avoid customer churn. The analysis experiment of customer churn risks on decision tree is illustrated deliberately based on the data from an enterprise, and experimental results are discussed. The experiment results show that the method is feasible and effective.
  • Keywords
    customer relationship management; data mining; decision trees; marketing data processing; business customer information; customer churn crisis; customer relations; data mining; decision tree; Classification algorithms; Classification tree analysis; Companies; Customer relationship management; Data mining; Decision making; Decision trees; Information analysis; Information theory; Machine learning algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5305403
  • Filename
    5305403