Title: Intelligent management platform for enterprise dynamic accounting information based on data mining

Authors: Huiying Kang

Addresses: Department of Economy and Trade, Shijiazhuang University of Applied Technology, Shijiazhuang, Hebei, 050081, China

Abstract: In order to promote the improvement of enterprise financial management level, a data mining-based intelligent management platform for enterprise dynamic accounting information is proposed. Firstly, the SOM algorithm is used to fully collect dynamic accounting information of enterprises, and the collected data is used as the management object. Secondly, the association rule method is used to calculate the support and confidence levels, completing the normalisation of accounting information. Finally, based on the normalised accounting information, a quantitative management function for accounting information is constructed to achieve intelligent management of accounting information. The experimental results show that the average accounting information mining time of the platform in this article is around 8 minutes, the maximum access latency is not more than 10 ms, and the accounting information reading time is always less than 2.5 s. The performance of the intelligent management platform has been significantly improved.

Keywords: data mining; dynamic accounting information; intelligent management platform; SOM algorithm; normalisation processing.

DOI: 10.1504/IJRIS.2025.149720

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.6, pp.373 - 379

Received: 06 Jun 2023
Accepted: 04 Aug 2023
Published online: 11 Nov 2025 *

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