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Position: Home > issue > November 28, 2021 Volume 2, Issue 4
Intelligent financial fraud detection practices in post-pandemic era
Category:   Review   Download:  PDF  Figure  Endnote
Author: Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He, Jianping Li

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Graphical abstract

The great losses caused by financial fraud have attracted continuous attention from academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus pandemic (COVID-19) unexpectedly shocks the global financial system and accelerates the use of digital financial services, which brings new challenges in effective financial fraud detection. This paper provides a comprehensive overview of intelligent financial fraud detection practices. We analyze the new features of fraud risk caused by the pandemic and review the development of data types used in fraud detection practices from quantitative tabular data to various unstructured data.


DOI:
https://doi.org/10.1016/j.xinn.2021.100176

Citation:
Zhu X., Ao X., Qin Z., et al. (2021). Intelligent Financial Fraud Detection Practices in Post-Pandemic Era. The Innovation. 2(4),100176.





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