ملف الباحث
Mohammad Shanaa
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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A Hybrid Anomaly Detection Framework Combining Supervised and Unsupervised Learning for Credit Card Fraud Detection
2025 · F1000Research
<ns3:p>Background Credit card fraud detection remains a major challenge because of the highly imbalanced nature of transaction data. Conventional supervised models often suffer from low recall or high false positive rates, whereas unsupervised methods lack …