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Data mining algorithm in the identification of accounting fraud by smart city information technology

Zheng, Xinyi et al.
UM Research Repository · Papers
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businessdata-mining
The identification of accounting fraud is an important measure to safeguard the interests of stakeholders and ensure the long-term development of the company. The current traditional methods for identifying accounting fraud rely on manual review and judgment, lacking objectivity and accuracy. In ord
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