• DocumentCode
    3546085
  • Title

    Analysis of the business customer churn based on decision tree method

  • Author

    Ma, Hongxia ; Qin, Min ; Wang, Jianxia

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    Customer churn analysis is a predictive analysis applying data mining technology. In this paper decision tree method of data mining technology is applied to analyze business customer churn to identify the customer churn characteristics and some of rules of the customer churn. Thus businesses can in a targeted manner to improve customer relationships. The experiment of customer churn analysis on decision tree is illustrated deliberately. It provides a new research ideas and analysis methods for business customer churn and early warning analysis.
  • Keywords
    business data processing; data mining; decision trees; business customer churn; customer relationships; data mining; decision tree method; Classification tree analysis; Companies; Consumer electronics; Customer relationship management; Data analysis; Data mining; Decision trees; Information analysis; Information entropy; Instruments; Customer churn; data mining; decision tree; information entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274712
  • Filename
    5274712