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Fraud Detection in Fintech Using ABC-Sampling by yosragalal.fas is a document available to read on EtoBox.

What is Fraud Detection in Fintech Using ABC-Sampling about?

This document discusses an intelligent approach to detecting online fraudulent trading in fintech, focusing on the challenges posed by imbalanced datasets. It introduces an Artificial Bee Colony-based sampling technique to generate synthetic fraud samples, enhancing model accuracy and minimizing false alarms. The proposed method significantly outperforms existing techniques by 10% in accuracy, addressing the dynamic nature of fraud and the need for continuous adaptation in detection systems.

Author

yosragalal.fas

Language

EN