원문정보
A Data-Mining Model to Support new Customer Acquisition for Internet Telephony(VoIP)
초록
영어
Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.
목차
1. 서론
2. 문헌 연구
2.1 인터넷전화
2.2 통신서비스의 데이터마이닝 적용
2.3 인터넷전화의 CRM 적용
2.4 예측용 데이터마이닝 기법
3. 연구모델 개발과 결과 해석
3.1 데이터 분석
3.2 인터넷전화 사용의향 예측모델
3.3 판별 분석 (Discriminant Analysis)
3.4 로지스틱 회귀 분석 (Logistic regression)
3.5 분류나무모델 (Classifiætion tree model)
3.6 신경망 모델 (Neural Network)
4. 예측모델의 비교 검증
4.1 모델의 비교
4.2 예측모델로 분석한 경영정보
5. 결론
5.1 연구의 요약 및 의의
5.2 향후 연구 과제
참고문헌