Fraud analytics: a research agenda
Fraud analytics: a research agenda
Fraud is as old as humankind and appears in many types and forms. Popular examples are credit card fraud, tax evasion, identity theft, insurance fraud, counterfeit, click fraud, anti-money laundering, and payment transaction fraud. In earlier research we defined fraud as an uncommon, well-considered, imperceptibly concealed, time-evolving, and carefully organized crime (Baesens, Van Vlasselaer, and Verbeke 2015). Nowadays, fraud is typically tackled using state-of-the-art analytical techniques with many accompanying challenges. It is the purpose of this article to highlight twelve research topics (RTs) that we believe prioritize high on the agenda of contemporary fraud analytics models. We do this by reviewing fraud analytics from a data, model, performance, and deployment perspective.
Baesens, Bart
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Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Baesens, Bart
(2022)
Fraud analytics: a research agenda.
Journal of Chinese Economic and Business Studies.
(In Press)
Abstract
Fraud is as old as humankind and appears in many types and forms. Popular examples are credit card fraud, tax evasion, identity theft, insurance fraud, counterfeit, click fraud, anti-money laundering, and payment transaction fraud. In earlier research we defined fraud as an uncommon, well-considered, imperceptibly concealed, time-evolving, and carefully organized crime (Baesens, Van Vlasselaer, and Verbeke 2015). Nowadays, fraud is typically tackled using state-of-the-art analytical techniques with many accompanying challenges. It is the purpose of this article to highlight twelve research topics (RTs) that we believe prioritize high on the agenda of contemporary fraud analytics models. We do this by reviewing fraud analytics from a data, model, performance, and deployment perspective.
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Fraud Analytics - A Research Agenda (1)
- Accepted Manuscript
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Accepted/In Press date: 7 November 2022
Identifiers
Local EPrints ID: 471588
URI: http://eprints.soton.ac.uk/id/eprint/471588
ISSN: 1476-5284
PURE UUID: 7a0c5623-35e6-4067-bc6c-b313893445cd
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Date deposited: 14 Nov 2022 17:38
Last modified: 07 May 2024 04:01
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