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Big data driven Internet of Things for credit evaluation and early warning in finance

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成果类型:
期刊论文
作者:
Wen, Chunhui;Yang, Jinhai;Gan, Liu;Pan, Yang
通讯作者:
Jinhai Yang
作者机构:
[Wen, Chunhui; Pan, Yang] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.
[Yang, Jinhai] Hunan Univ Technol, Coll Business, Zhuzhou 412007, Peoples R China.
[Gan, Liu] Jiangxi Univ Finance & Econ, Sch Finance, Nanchang 330013, Jiangxi, Peoples R China.
通讯机构:
[Jinhai Yang] C
College of Business, Hunan University of Technology, Zhuzhou 412007, China
语种:
英文
关键词:
Big data driven;Credit evaluation and early warning;Factor analysis;Internet of Things finance;Particle swarm optimization
期刊:
Future Generation Computer Systems
ISSN:
0167-739X
年:
2021
卷:
124
页码:
295-307
基金类别:
The research reported in this paper was supported by the General Project of National Natural Science Foundation of China (Project No.: 72073043 ), Philosophy and Social Science Foundation of Hunan Province, China (Project No.: 18YBA140 ), and the Natural Science Foundation of Hunan Province of China (Project No.: 2018JJ2189 ).
机构署名:
本校为第一机构
院系归属:
经济学院
摘要:
The big data technology framework has been successfully used in the Internet of Things, and the financial industry also hopes to use the advanced technology of big data to integrate and improve internal and external data related to credit risks. Relying on more efficient machine learning algorithms to get a reasonable prediction of credit risk can reduce the self-generated losses of the Internet of Things finance and increase profits. This article uses distributed search engine technology to customize web crawlers to obtain the required bank card and transaction data from the multi-source hete...

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