Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education

Research on Internet-Finance Risk Warning based on Big Data

Authors
Qipeng Zhang, Youtao Luo, Shiguang Fu, Zhanpeng Xu, Yu Xiao
Corresponding Author
Qipeng Zhang
Available Online November 2015.
DOI
10.2991/ssemse-15.2015.566How to use a DOI?
Keywords
big data; internet finance; risk warning
Abstract

Internet-Finance is expanding rapidly in the present era. However, the financial risk warning system has not been established. There is huge potential risk in the Internet-Finance. Based on the big data technology as the theoretical basis, this paper analyzes the types of potential risk of Internet Finance, and then points out the establishing principles of the system Internet-Finance risk warning. Finally, we give the risk early warning methods of Internet finance to guarantee the healthy and sustainable development of Internet-Finance enterprises.

Copyright
© 2015, 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 2015 International Conference on Social Science, Education Management and Sports Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2015
ISBN
10.2991/ssemse-15.2015.566
ISSN
2352-5398
DOI
10.2991/ssemse-15.2015.566How to use a DOI?
Copyright
© 2015, 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  - Qipeng Zhang
AU  - Youtao Luo
AU  - Shiguang Fu
AU  - Zhanpeng Xu
AU  - Yu Xiao
PY  - 2015/11
DA  - 2015/11
TI  - Research on Internet-Finance Risk Warning based on Big Data
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 2228
EP  - 2230
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.566
DO  - 10.2991/ssemse-15.2015.566
ID  - Zhang2015/11
ER  -