Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function
Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function
Xiao Qiang(Lanzhou Jiaotong University); He Rui-chun(Lanzhou Jiaotong University); Zhang Wei(Lanzhou Jiaotong University)
11권 2호, 173~183쪽
초록
At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in Ecommerce has emerged. This phenomenon affects the judgment of consumers and hinders the rapid development of E-commerce. In this paper, that E-commerce credit evaluation model that uses a Gaussian density function is put forward by density test and the analysis for the anomalies of E-commerce credit rating, it can be fond out the abnormal point in credit scoring, these points were calculated by nonlinear credit scoring algorithm, thus it can effectively improve the current E-commerce credit score, and enhance the accuracy of E-commerce credit score.
Abstract
At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in Ecommerce has emerged. This phenomenon affects the judgment of consumers and hinders the rapid development of E-commerce. In this paper, that E-commerce credit evaluation model that uses a Gaussian density function is put forward by density test and the analysis for the anomalies of E-commerce credit rating, it can be fond out the abnormal point in credit scoring, these points were calculated by nonlinear credit scoring algorithm, thus it can effectively improve the current E-commerce credit score, and enhance the accuracy of E-commerce credit score.
- 발행기관:
- 한국정보처리학회
- 분류:
- 기타컴퓨터학