Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Construction of E-Commerce Credit System Based on Big Data Analysis

Authors
Ganglong Fan, Hongsheng Xu, Ke Li
Corresponding Author
Ganglong Fan
Available Online December 2017.
DOI
10.2991/mcei-17.2017.145How to use a DOI?
Keywords
Credit system; Electronic commerce; Big data; Electronic signature; Credit information
Abstract

Credit system is a reflection and evaluation system of comprehensive trust between organizations and individuals. E-commerce as a virtual economy, non contact economy, if there is no perfect credit system as a guarantee, its survival and development will be very difficult. This paper focuses on the analysis of the big data processing technology to build e-commerce credit system model. The paper presents novel model of e-commerce credit system based on big data analysis. The information flow, capital flow and even logistics of electronic commerce form a whole by echoing each other with electronic signatures.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
10.2991/mcei-17.2017.145
ISSN
2352-538X
DOI
10.2991/mcei-17.2017.145How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ganglong Fan
AU  - Hongsheng Xu
AU  - Ke Li
PY  - 2017/12
DA  - 2017/12
TI  - Construction of E-Commerce Credit System Based on Big Data Analysis
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 685
EP  - 689
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.145
DO  - 10.2991/mcei-17.2017.145
ID  - Fan2017/12
ER  -