Financial accounting intelligence management of internet of things enterprises based on data mining algorithm

被引:11
作者
Yao, Lu [1 ]
机构
[1] Shandong Yingcai Univ, Dept Econ & Management, Jinan 250000, Shandong, Peoples R China
关键词
data mining algorithm; enterprise; financial accounting; smart management; BIG DATA;
D O I
10.3233/JIFS-179173
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the introduction of the information age, enterprise financial management has been challenged as never before, and the application of Internet of Things (IoT) technology can effectively improve the efficiency of financial accounting management and realize the informationization of financial management. In order to solve the problem of enterprise financial accounting data processing, a data mining algorithm is constructed, which uses data mining technology to obtain massive information data and cluster analysis processing to realize the fusion of multiple uncertainty information processing models. Firstly, the financial information cloud platform is designed by using the IoT technology. The financial risk index coefficient of the enterprise is judged by the association rules. Finally, the research sample is divided into the risk group and the normal group according to the ST classification standard, and the 296 financial indicators of the two groups are correlated. The research results show that if the enterprise with a score below 40 points has financial risk, the accuracy rate is 70.9%, which is slightly lower than the financial risk warning model of the decision tree. Through the research of this paper, it has enlightenment to the financial accounting management of IoT enterprises. The data mining technology is applied in the processing of massive data information of accounting, which is more efficient.
引用
收藏
页码:5915 / 5923
页数:9
相关论文
共 20 条
[1]  
[Anonymous], 2016, EXPERT SYST APPL
[2]   Internet of Things: Applications and Challenges in Technology and Standardization [J].
Bandyopadhyay, Debasis ;
Sen, Jaydip .
WIRELESS PERSONAL COMMUNICATIONS, 2011, 58 (01) :49-69
[3]  
Belfo F., 2013, Procedia Technology, V9, P536, DOI DOI 10.1016/J.PROTCY.2013.12.060
[4]  
Chen HC, 2012, MIS QUART, V36, P1165
[5]  
GAO J, 2018, CLUSTER COMPUT, V9, P1, DOI DOI 10.3389/fpls.2018.00357
[6]   Rolling element bearing fault feature extraction using an optimal chirplet [J].
Jiang, Hongkai ;
Lin, Ying ;
Meng, Zhiyong .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (10)
[7]   The Effect of Remittances on Economic Growth in Kyrgyzstan and Macedonia: Accounting for Financial Development [J].
Kumar, Ronald Ravinesh ;
Stauvermann, Peter Josef ;
Patel, Arvind ;
Prasad, Selvin .
INTERNATIONAL MIGRATION, 2018, 56 (01) :95-126
[8]  
[李红辉 Li Honghui], 2017, [北京交通大学学报. 自然科学版, Journal of Beijing Jiaotong University], V41, P54
[9]  
Liu X, 2018, CORP INTERC STUD, V4, P1, DOI 10.1007/978-981-10-6415-9
[10]   RETRACTED: Research on the intelligent judgment of traffic congestion in intelligent traffic based on pattern recognition technology (Retracted article. See DEC, 2022) [J].
Luo Ruiqi ;
Zhong Xian ;
Zhong Luo ;
Li Lin .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 5) :12581-12588