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Neural Computing and Applications

Erschienen in:

21.11.2020 | S.I.: SPIoT 2020

Early warning of enterprise finance risk of big data mining in internet of things based on fuzzy association rules

verfasst von: Hongyu Shang, Duan Lu, Qingyuan Zhou

Erschienen in: Neural Computing and Applications | Ausgabe 9/2021

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Abstract

As the big data, Internet of Things, cloud computing, and other ideas and technologies are integrated into social life, the big data technology can improve the corporate financial data processing. At the same time, with the fiercer competition between enterprises, investors and enterprises have paid more attention to the role of financial crisis warning in corporate management. The work selected the multiple financial indicators based on big data mining in Internet of Things. The rules between all financial indicators were found to choose more representative financial risk indicators. Then the frequent fuzzy option set was determined by FCM (fuzzy cluster method), parallel rules, and parallel mining algorithm, thus obtaining the fuzzy association rules that satisfy the minimum fuzzy credibility. Finally, the relevant data of listed companies were selected to analyze the corporate financial risks, which verified the method proposed in the work.

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Titel: Early warning of enterprise finance risk of big data mining in internet of things based on fuzzy association rules
verfasst von: Hongyu Shang
Duan Lu
Qingyuan Zhou
Publikationsdatum: 21.11.2020
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 9/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-05510-5

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