Performance Analysis of Isolation Forest Algorithm in Fraud Detection of Credit Card Transactions

• Huvudupphovsmän: Waspada, Indra, Bahtiar, Nurdin, Wirawan, Panji Wisnu, Awan, Bagus Dwi Ari
• Materialtyp: UMS Journal (OJS)
• Språk: eng
• Publicerad: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2020
• Ämnen: credit card; fraud; Isolation forest; unsupervised; precision; recall; ROC-AUC, AUCPR
• Länkar: https://journals.ums.ac.id/index.php/khif/article/view/10520

Losses incurred due to fraud on e-commerce transactions, especially those based on credit cards, continue to increase, resulting in large losses each year. One mechanism to minimize the risk of fraudulent credit card transactions is to utilize a detection technique for ongoing transactions. Credit c...