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What is Combating Banking Fraud With It Integrat about?

This research article discusses the integration of Machine Learning (ML) and Data Analytics in combating banking fraud, highlighting the inadequacies of traditional detection methods. It emphasizes the need for advanced, adaptive fraud detection mechanisms and presents case studies demonstrating the effectiveness of these technologies in real-world applications. The paper also addresses challenges, future trends, and the methodology used for data collection and analysis in the study.

Author

manju koirala

Language

EN