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A Study for Customer Switching Intentions to Internet Telephony by Using Data Mining Mechanism

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2012, 7(3), pp.59-77
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : June 30, 2012

Sung Ho Ha 1 권은경 1 Hyunsun Park 1 KWANG HYUK IM 2

1경북대학교
2배재대학교

Accredited

ABSTRACT

Internet telephony market is growing continuously and is being emphasized as a substitution for PSTN market. Telecommunication companies and Vendors make an effort to get into internet telephony market, which is regarded as a blue ocean to boost the telecommunication market in a long-term stagnation. In this regard, we need to understand traditional telephone customer churn and transition intention to internet telephony. To fulfill this purpose, this study builds a customer churn analysis model based on a method of data mining. This study conduct clustering(TwoStep, K-means) and uses c5.0, neural nets, and support vector machine to develop prediction models. The results of this study will provide useful insights to manage customer churn and retention.

Citation status

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