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Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions

In this study, we introduce an advanced machine learning model integrated with explainable AI techniques to enhance the detection of payment fraud in real-time scenarios within the digital finance sector. As online transactions continue to proliferate, so too do the fraudulent activities associate w...

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書誌詳細
主要な著者:	Al-hchaimi A.A.J., Alomari M.F., Muhsen Y.R., Sulaiman N.B., Ali S.H.
その他の著者:	57219174675
フォーマット:	Conference paper
出版事項:	Springer Science and Business Media Deutschland GmbH 2025
主題:	Crime Decision trees E-learning Machine learning Network security AI techniques Decision-tree model Digital finance security Financial transactions Fraud detection Machine learning models Machine-learning Real- time Real-time fraud analyse Transaction analyse Finance
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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