Abstract
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.
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Ting, W., & Liu, Y. (2020). Design and implementation of intelligent accounting data analysis platform based on industrial cloud computing. Eurasip Journal on Wireless Communications and Networking, 2020(1). https://doi.org/10.1186/s13638-020-1647-2
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