• DocumentCode
    2305634
  • Title

    The Comparative Analysis and Study of Mobile-Based Customer Data Churn Prediction Model

  • Author

    Lei Jin-hui ; He Jian-jun

  • Author_Institution
    Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    524
  • Lastpage
    528
  • Abstract
    This paper combined the characteristic of mobile customers churn data, through compare, point out the problem of existing forecast model and the deficiency of traditional vector machine in forecast model. Aimed at the problem of mobile customers churn, established supporting vector machine forecasting model based on ICSVM arithmetic. Through mobile customer data set testing, compare this model to traditional model, this model more adapt to resolve large data set and imbalance data, acquire better customer churn forecasting effect.
  • Keywords
    customer services; forecasting theory; support vector machines; ICSVM arithmetic; comparative analysis; mobile-based customer data churn prediction model; supporting vector machine forecasting model; Algorithm design and analysis; Costs; Data mining; Decision trees; Economic forecasting; Mobile communication; Neural networks; Pattern analysis; Predictive models; Technology forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.281
  • Filename
    5319613