Financial Big Data Analysis and Early Warning Platform: A Case Study

被引：12

作者：

Liang, Yi ^{[1
,2
]}

Quan, Daiyong ^{[3
]}

Wang, Fang ^{[2
]}

Jia, Xiaojun ^{[1
,5
]}

Li, Menggang ^{[1
,4
,5
]}

Li, Ting ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, Natl Acad Econ Secur, Beijing 100044, Peoples R China

[2] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China

[3] Beijing Jiaotong Univ, Postdoctoral Programme China Ctr Ind Secur Res, Beijing 100044, Peoples R China

[4] Beijing Jiaotong Univ, Beijing Lab Natl Econ Secur Early Warning Engn, Beijing 100044, Peoples R China

[5] Beijing Jiaotong Univ, Beijing Ctr Ind Secur & Dev Res, Beijing 100044, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷

关键词：

Big data; pre-warning; economic security; early-warning methods;

D O I：

10.1109/ACCESS.2020.2969039

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to keep the bottom line of systemic financial risks and prevent the mitigation of major risks, this work focuses on the investigation of multi-source heterogeneous data fusion algorithms and cleaning technologies to establish a suitable style for data analysis and big data computation frame. In this paper, according to the above method, we provide the basis for early analysis of economic security. Utilizing the big data analysis, an emerging information technology method, we can be able to explore new risk early-warning methods, build a risk monitoring and early-warning platform and achieve scientific economic decision-making, so that the sources of economic risk in national economic security can be traced.

引用

页码：36515 / 36526

页数：12

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