Financial Prediction Model Based on Data Mining Technology

Yu Ren

Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China

Research Article

Financial Prediction Model Based on Data Mining Technology

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.2-6-2023.2334648,
    author={Yu  Ren},
    title={Financial Prediction Model Based on Data Mining Technology},
    proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China},
    publisher={EAI},
    proceedings_a={ICIDC},
    year={2023},
    month={8},
    keywords={financial audit risk prediction data mining support vector machine},
    doi={10.4108/eai.2-6-2023.2334648}
}

Yu Ren
Year: 2023
Financial Prediction Model Based on Data Mining Technology
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334648

Yu Ren¹^,*

1: Shandong Institute of Commerce and Technology

*Contact email: shenxuan1404@163.com

Abstract

It is difficult for traditional audit methods to find various financial problems hidden in massive data. With interdisciplinary thinking, this paper uses data mining technology, fault diagnosis theory based on expert knowledge and financial audit theory, and uses data mining technology in financial forecasting to build three single financial models, namely, BP neural network, support vector machine and random forest model, Through experimental analysis, the most suitable model for use in financial auditing and the support vector machine model have been identified, which can improve efficiency and reduce risks for future financial auditing work.

Keywords: financial audit risk prediction data mining support vector machine

Published: 2023-08-02
Publisher: EAI

: http://dx.doi.org/10.4108/eai.2-6-2023.2334648