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This paper presents an integrated framework combining advanced data governance techniques and machine learning (ML) models to improve fraud detection and risk management in the banking industry. By ensuring high-quality data and leveraging predictive ML algorithms, the proposed approach enhances decision-making and operational efficiency.

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A Unified Framework for Data Governance and Machine Learning in Banking: Enhancing Fraud Detection and Risk Management

  • 会议论文

  • 发表日期：

    2025年

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  • Cong Thanh Tran

摘要

This paper presents an integrated framework combining advanced data governance techniques and machine learning (ML) models to improve fraud detection and risk management in the banking industry. By ensuring high-quality data and leveraging predictive ML algorithms, the proposed approach enhances decision-making and operational efficiency.