Design and implementation of intelligent accounting data analysis platform based on industrial cloud computing

被引:1
|
作者
Ting, Wang [1 ]
Liu, Yang [2 ]
机构
[1] Shandong Vocat Coll Light Ind, Dept Business Adm, Zibo 255300, Peoples R China
[2] Qingdao Univ, Sch Business, Qingdao 266100, Peoples R China
关键词
Industrial cloud computing; Intelligent accounting data analysis; Fuzzy C-means clustering algorithm; Feature extraction;
D O I
10.1186/s13638-020-1647-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In order to improve the ability of accounting data analysis and statistics, a method of constructing modern accounting data analysis platform based on industrial cloud computing is proposed. The time series model of modern accounting data analysis is constructed by using block bit sequence analysis method, and the association rule characteristic quantity of accounting data is extracted. Combined with cloud computing technology, the modern accounting data analysis platform is constructed, and the fuzzy C-means clustering algorithm is used to realize the clustering of modern accounting data, which can improve the ability of parallel computing and statistical analysis of accounting data. The simulation results show that the intelligent data analysis platform designed makes the statistical analysis ability of accounting data better and the parallel computing efficiency higher.
引用
收藏
页数:8
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