본문 바로가기
  • Home

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.

Journal Copyright Policy

No CCL information provided

Citation status

* References for papers published after 2025 are currently being built.