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

• 主要な著者: Waspada, Indra, Bahtiar, Nurdin, Wirawan, Panji Wisnu, Awan, Bagus Dwi Ari
• フォーマット: UMS Journal (OJS)
• 言語: eng
• 出版事項: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2020
• 主題: credit card; fraud; Isolation forest; unsupervised; precision; recall; ROC-AUC, AUCPR
• オンライン･アクセス: 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...