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

• Автори: Waspada, Indra, Bahtiar, Nurdin, Wirawan, Panji Wisnu, Awan, Bagus Dwi Ari
• Формат: UMS Journal (OJS)
• Мова: eng
• Опубліковано: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2020
• Предмети: credit card; fraud; Isolation forest; unsupervised; precision; recall; ROC-AUC, AUCPR
• Онлайн доступ: 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...