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학술논문JIPS(Journal of Information Processing Systems)2015.06 발행

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
DOI:
http://dx.doi.org/10.3745/JIPS.04.0012
분류:
기타컴퓨터학

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Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function | JIPS(Journal of Information Processing Systems) 2015 | AskLaw | 애스크로 AI