aceFinancial fraud detection through the application of machine learning techniques: a literature review
Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits. Addressing this issue, this study presents a literature review on financial fraud detection through machine learning techniques. The PRISMA and Kitchenham methods were applied, and 104 articles published between 2012 and 2023 were examined. These articles were selected based on predefined inclusion and exclusion criteria and were obtained from databases suc…
Literature shows machine learning models are applied to detect financial fraud, with credit card fraud detection models most widely used.
Review coverage is geographically skewed and relies heavily on real datasets with limited synthetic data testing.
Evidence
- Peer-reviewedHumanities and Social Sciences Communications2024-09-03
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Truvace Impact Record TRV-2026-0366, v1: “Financial fraud detection through the application of machine learning techniques: a literature review.” Truvace, 2026-07-20. /record/TRV-2026-0366 (accessed at citation time). sha256 5e3554276c9e02f6…
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