Proceedings of the 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017)

Construction of Internet Financial Personal Credit Investigation System under the Condition of Big Data

Authors
Xiangli Zuo
Corresponding Author
Xiangli Zuo
Available Online December 2017.
DOI
10.2991/icemaess-17.2017.116How to use a DOI?
Keywords
big data, Internet finance, personal credit investigation system, system construction
Abstract

This paper analyzes the current development status and problems of the existing credit investigation system in China, which based on the research methods of literature review and case study. And this paper subsequently sums up available experience of Chinese personal credit investigation system construction according to American ways. In accordance with the above analysis and the construction modes of Internet financial personal credit investigation system in the mainstream countries in the world, this paper puts forward one ideal mode suitable for China's national conditions, which can provide new methods and ideas to build Internet financial personal credit investigation system in China.

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 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2017
ISBN
10.2991/icemaess-17.2017.116
ISSN
2352-5398
DOI
10.2991/icemaess-17.2017.116How 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  - Xiangli Zuo
PY  - 2017/12
DA  - 2017/12
TI  - Construction of Internet Financial Personal Credit Investigation System under the Condition of Big Data
BT  - Proceedings of the 4th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2017)
PB  - Atlantis Press
SP  - 527
EP  - 531
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-17.2017.116
DO  - 10.2991/icemaess-17.2017.116
ID  - Zuo2017/12
ER  -