With the change of market environment, most enterprises have realized the importance of customer resource. In this paper, we use data mining technology to analyze the influence factor of insurance settlement. First, we establish a customer segmentation structure model, and then use decision tree to find out the main factors that affect the amount of settlement and analyze the customer records. According to the result, we can find that the amount of settlement is mainly influenced by the driving experience and the purpose of using. Based on the analysis, the using of the data-mining tech would improve the work efficiency and the consumer management in insurance institutions, and insurance companies can also formulate the corresponding compensation rate.
목차
Abstract 1. Introduction 2. Customer Value Evaluation 2.1. Artificial Neural Network 2.2. Structure Model 3. Empirical Analysis 3.1. Decision Tree 3.2. Influence Factor Analysis 4. Conclusions Acknowledgements References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.7 No.1