FraudX SimS: A Synthetic Dataset for Anomaly Detection in Payment-Card Transactions
Progress in detecting payment fraud is challenged by the limited variety of publicly available datasets. Relying on one or two datasets makes it hard to compare fairly, disguises sensitivity to data changes, and limits the ability to evaluate explainable methods in depth. This article introduces Fra...
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2025-01-01
|
| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/11270838/ |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|