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Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Application of Apriori Improved Algorithm in Intelligent Accounting

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344730,
        author={Wenjie  Dong},
        title={Application of Apriori Improved Algorithm in Intelligent Accounting},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={apriori improved algorithm; accounting; intelligentize},
        doi={10.4108/eai.8-12-2023.2344730}
    }
    
  • Wenjie Dong
    Year: 2024
    Application of Apriori Improved Algorithm in Intelligent Accounting
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344730
Wenjie Dong1,*
  • 1: Dalian University of Finance and Economics
*Contact email: dwenjie0428@126.com

Abstract

In order to understand the application of Apriori improved algorithm in accounting intelligence, a research on the application of Apriori improved algorithm in accounting intelligence is put forward. First, this paper proposes to know the ways of financial intelligence based on the research context of financial intelligence. Second, by introducing the Apriori smart learning algorithm based on the Boolean-Mapping matrix, smart data can be made only by combining the code in the financial certificate. Correlations between original voucher symbols and accounting vouchers are extracted and produced by an improved character induction learning algorithm. Finally, a good work on intelligent financial systems is created, which is used in the development and application of intelligent financial systems research, and explores new avenues of research to integrate accounting and machine learning algorithms.

Keywords
apriori improved algorithm; accounting; intelligentize
Published
2024-04-18
Publisher
EAI
http://dx.doi.org/10.4108/eai.8-12-2023.2344730
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