Feature generation and contribution comparison for electronic fraud detection

Modern money transfer services are convenient, attracting fraudulent actors to run scams in which victims are deceived into transferring funds to fraudulent accounts. Machine learning models are broadly applied due to the poor fraud detection performance of traditional rule-based approaches. Learnin...

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Detalles Bibliográficos
Autores principales: Ti, Yen-Wu, Hsin, Yu-Yen, Dai, Tian-Shyr, Huang, Ming-Chuan, Liu, Liang-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613914/
https://www.ncbi.nlm.nih.gov/pubmed/36302818
http://dx.doi.org/10.1038/s41598-022-22130-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613914/
https://www.ncbi.nlm.nih.gov/pubmed/36302818
http://dx.doi.org/10.1038/s41598-022-22130-2

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