Fraud analytics: a research

B. Baesens

Journal of Chinese Economic and Business Studies, 2023, vol. 21, issue 1, 137-141

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. 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.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/14765284.2022.2162246 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jocebs:v:21:y:2023:i:1:p:137-141

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RCEA20

DOI: 10.1080/14765284.2022.2162246

Access Statistics for this article

Journal of Chinese Economic and Business Studies is currently edited by Professor Xiaming Liu

More articles in Journal of Chinese Economic and Business Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().