Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function


Xiao Qiang, He Rui-chun, Zhang Wei, Journal of Information Processing Systems Vol. 11, No. 2, pp. 173-183, Jun. 2015  

10.3745/JIPS.04.0012
Keywords: Abnormal Point, Credit Scoring, Density, e-Commerce
Fulltext:

Abstract

At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in E- commerce 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.


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Cite this article
[APA Style]
Xiao Qiang, He Rui-chun, & Zhang Wei (2015). Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function. Journal of Information Processing Systems, 11(2), 173-183. DOI: 10.3745/JIPS.04.0012.

[IEEE Style]
X. Qiang, H. Rui-chun and Z. Wei, "Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function," Journal of Information Processing Systems, vol. 11, no. 2, pp. 173-183, 2015. DOI: 10.3745/JIPS.04.0012.

[ACM Style]
Xiao Qiang, He Rui-chun, and Zhang Wei. 2015. Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function. Journal of Information Processing Systems, 11, 2, (2015), 173-183. DOI: 10.3745/JIPS.04.0012.