التفاصيل البيبلوغرافية
| العنوان: |
Financial Big Data Analysis and Early Warning Platform: A Case Study |
| المؤلفون: |
Yi Liang, Daiyong Quan, Fang Wang, Xiaojun Jia, Menggang Li, Ting Li |
| المصدر: |
IEEE Access, Vol 8, Pp 36515-36526 (2020) |
| بيانات النشر: |
IEEE, 2020. |
| سنة النشر: |
2020 |
| المجموعة: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| مصطلحات موضوعية: |
Big data, pre-warning, economic security, early-warning methods, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| الوصف: |
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. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/8967014/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2020.2969039 |
| URL الوصول: |
https://doaj.org/article/e4144c3487f24685a2a825118a6572d7 |
| رقم الانضمام: |
edsdoj.4144c3487f24685a2a825118a6572d7 |
| قاعدة البيانات: |
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