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Financial Fraud Detection of Listed Companies Based on DNSAE Fusion and Improved Random Forest

Published: 27 January 2023 Publication History

Abstract

The falsification of financial data of listed companies is easy to mislead the market, causing investors to lose their investment and the personal economy is severely damaged. In view of the above problems, this paper proposes a financial fraud detection model of listed companies based on DNSAE fusion and improved random forest to detect the financial fraud of listed companies. The experimental results show that the model has a good detection effect in the financial fraud of listed companies.

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ICIIP '22: Proceedings of the 7th International Conference on Intelligent Information Processing
September 2022
367 pages
ISBN:9781450396714
DOI:10.1145/3570236
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 January 2023

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Author Tags

  1. DNSAE
  2. Detection Model
  3. Financial Data Fraud
  4. Improved Random Forest

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ICIIP '22

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Overall Acceptance Rate 87 of 367 submissions, 24%

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