Early warning of enterprise finance risk of big data mining in internet of things based on fuzzy association rules
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S.I.: SPIOT 2020
Early warning of enterprise finance risk of big data mining in internet of things based on fuzzy association rules Hongyu Shang1 • Duan Lu2 • Qingyuan Zhou3,4 Received: 18 August 2020 / Accepted: 4 November 2020 Ó Springer-Verlag London Ltd., part of Springer Nature 2020
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. Keywords Big data Internet of Things Financial risk Fuzzy clustering Data mining
1 Introduction The rapid economic development of science and technology has pushed the humankind into an era of information explosion. In 2012, the Obama administration announced a high-profile plan called ‘‘Big Data Research and Development,’’ and big data became a hot word. Big data, also known as huge amount of data, refers to collecting, storing, analyzing, and processing data of different structures and types in a more cost-effective and efficient manner in the age of information explosion. Besides, it can obtain relevant information with decision value. In recent years, with the development of society and the widespread application of Internet of Things, the big data & Qingyuan Zhou [email protected] 1
Nanjing Zijin Huicai Technology Co., Ltd, Nanjing 210093, China
2
Business School, Nanjing University, Nanjing 210093, China
3
School of Economics and Management, Changzhou Vocational Institute of Mechatronic Technology, Changzhou 213164, China
4
Changzhou Key Laboratory of Industrial Internet and Data Intelligence, Changzhou 213164, China
has been applied to various fields due to its diverse types, fast acquisition speeds, low acquisition and storage costs, and wide sources. It enables companies to achieve efficient and high-quality financial management, with advantages including increasing the use value of financial data, improving the processing of financial data, and providing managers with useful information for decision-making. The financial status of enterprise is the focus of all the stakeholders of enterprise including operators, corporate creditors, and investors. In a fierce market competition, no enterprise can avoid risk
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