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

• Những tác giả chính: Waspada, Indra, Bahtiar, Nurdin, Wirawan, Panji Wisnu, Awan, Bagus Dwi Ari
• Định dạng: UMS Journal (OJS)
• Ngôn ngữ: eng
• Được phát hành: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2020
• Những chủ đề: credit card; fraud; Isolation forest; unsupervised; precision; recall; ROC-AUC, AUCPR
• Truy cập trực tuyến: 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...