Title: Design of an intelligent financial sharing platform driven by digital economy and its role in optimising accounting transformation production

Authors: Yun Ye

Addresses: Jingdezhen University, No. 3, Hongta Road, Fuliang Avenue, Fuliang County, Jingdezhen, Jiangxi 333000, China

Abstract: With the expansion of business scope, the environment faced by enterprises has also changed, and competition is becoming increasingly fierce. Traditional financial systems are increasingly difficult to handle complex tasks and predict potential financial risks. In the context of the digital economy era, the booming financial sharing services have reduced labour costs and improved operational efficiency. This paper designs and implements an intelligent financial sharing platform, establishes a fund payment risk early warning model based on an improved support vector machine algorithm, and tests it on the Financial Distress Prediction dataset. The experimental results show that the effectiveness of using F2 score and AUC evaluation methods can reach 0.9484 and 0.9023, respectively. After using this system, the average financial processing time per order decreases by 43%, and the overall financial processing time decreases by 27%. Finally, this paper discusses the role of intelligent financial sharing platform in accounting transformation and optimisation of production.

Keywords: digital economy; financial sharing; accounting transformation; production optimisation; SMOTE-SVM.

DOI: 10.1504/IJDMB.2024.139463

International Journal of Data Mining and Bioinformatics, 2024 Vol.28 No.3/4, pp.340 - 351

Received: 31 Mar 2023
Accepted: 26 Oct 2023
Published online: 02 Jul 2024 *

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