Author(s)

Jincen Han ¹

Affiliation(s)

¹ Nanchong Vocational and Technical College, Nanchong, Sichuan, China

Corresponding Author

Jincen Han

ABSTRACT

In financial management, the management of financial data is particularly important. Financial data is a specific record of different economic activities and fund use of an enterprise, so it is often necessary to analyze, process and evaluate financial data. However, the traditional data analysis technology and evaluation method have many defects, and it is difficult to conduct comprehensive and detailed analysis and evaluation of financial data. In the era of technology, cloud computing technology (CCT) has been developed, which can be used to build cloud platforms and improve the efficiency of data analysis and processing. Therefore, this paper proposed to apply CCT to financial management and build a financial management information construction model. In order to improve the evaluation performance of financial data, this paper also constructed a financial data evaluation model based on support vector machine algorithm, and carried out relevant experimental research on the model. From the experimental results, in terms of the average financial risk value, the test result of this algorithm was 12.64, and the test result of the traditional algorithm was 17.88. In terms of average detection accuracy, the test result of the algorithm in this paper was 92.14%, and the test result of the traditional algorithm was 87.85%. From the data, it can see that the algorithm in this paper can effectively optimize the financial data evaluation model.

KEYWORDS

Cloud Computing Technology, Financial Management, Financial Data Quality Evaluation Model, Financial Management Information Construction

CITE THIS PAPER

Jincen Han, Design and Simulation of Financial Data Evaluation Algorithm Based on Machine Learning and 5G Cloud Computing Technology. Information Systems and Economics (2025) Vol. 6: 32-41. DOI: http://dx.doi.org/10.23977/infse.2025.060204.

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