Intelligent financial fraud detection practices in post-pandemic era

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 b...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He, Jianping Li
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	financial fraud detection COVID-19 pandemic artificial intelligence Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/53a22939162649e3b0fbfe2cdc57ce6a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:53a22939162649e3b0fbfe2cdc57ce6a
record_format	dspace
spelling	oai:doaj.org-article:53a22939162649e3b0fbfe2cdc57ce6a2021-11-28T04:39:17ZIntelligent financial fraud detection practices in post-pandemic era2666-675810.1016/j.xinn.2021.100176https://doaj.org/article/53a22939162649e3b0fbfe2cdc57ce6a2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666675821001016https://doaj.org/toc/2666-6758The 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. The evolution of methods in financial fraud detection is summarized, and the emerging Graph Neural Network methods in the post-pandemic era are discussed in particular. Finally, some of the key challenges and potential directions are proposed to provide inspiring information on intelligent financial fraud detection in the future.Xiaoqian ZhuXiang AoZidi QinYanpeng ChangYang LiuQing HeJianping LiElsevierarticlefinancial fraud detectionCOVID-19 pandemicartificial intelligenceScience (General)Q1-390ENThe Innovation, Vol 2, Iss 4, Pp 100176- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	financial fraud detection COVID-19 pandemic artificial intelligence Science (General) Q1-390
spellingShingle	financial fraud detection COVID-19 pandemic artificial intelligence Science (General) Q1-390 Xiaoqian Zhu Xiang Ao Zidi Qin Yanpeng Chang Yang Liu Qing He Jianping Li Intelligent financial fraud detection practices in post-pandemic era
description	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. The evolution of methods in financial fraud detection is summarized, and the emerging Graph Neural Network methods in the post-pandemic era are discussed in particular. Finally, some of the key challenges and potential directions are proposed to provide inspiring information on intelligent financial fraud detection in the future.
format	article
author	Xiaoqian Zhu Xiang Ao Zidi Qin Yanpeng Chang Yang Liu Qing He Jianping Li
author_facet	Xiaoqian Zhu Xiang Ao Zidi Qin Yanpeng Chang Yang Liu Qing He Jianping Li
author_sort	Xiaoqian Zhu
title	Intelligent financial fraud detection practices in post-pandemic era
title_short	Intelligent financial fraud detection practices in post-pandemic era
title_full	Intelligent financial fraud detection practices in post-pandemic era
title_fullStr	Intelligent financial fraud detection practices in post-pandemic era
title_full_unstemmed	Intelligent financial fraud detection practices in post-pandemic era
title_sort	intelligent financial fraud detection practices in post-pandemic era
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/53a22939162649e3b0fbfe2cdc57ce6a
work_keys_str_mv	AT xiaoqianzhu intelligentfinancialfrauddetectionpracticesinpostpandemicera AT xiangao intelligentfinancialfrauddetectionpracticesinpostpandemicera AT zidiqin intelligentfinancialfrauddetectionpracticesinpostpandemicera AT yanpengchang intelligentfinancialfrauddetectionpracticesinpostpandemicera AT yangliu intelligentfinancialfrauddetectionpracticesinpostpandemicera AT qinghe intelligentfinancialfrauddetectionpracticesinpostpandemicera AT jianpingli intelligentfinancialfrauddetectionpracticesinpostpandemicera
_version_	1718408257941274624

Intelligent financial fraud detection practices in post-pandemic era

Ejemplares similares