Paper Info
Title
Early Warning Of Enterprise Finance Risk Of Big Data Mining In Internet Of Things Based On Fuzzy Association Rules
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.
Year
DOI
Venue
2021
10.1007/s00521-020-05510-5
NEURAL COMPUTING & APPLICATIONS
Keywords
DocType
Volume
Big data, Internet of Things, Financial risk, Fuzzy clustering, Data mining
Journal
33
Issue
ISSN
Citations 
9
0941-0643
1
PageRank 
References 
Authors
0.43
0
3
Name
Order
Citations
PageRank
Hongyu Shang110.43
Lu Duan2132.80
Qingyuan Zhou3577.91