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All Journal International Journal of Computer Technology and Science
Sophia Anne Harris
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Computer Science & IT

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Leveraging Machine Learning Models for Real-Time Fraud Detection in Financial Transactions Nathaniel Andrew Davis; Sophia Anne Harris
International Journal of Computer Technology and Science Vol. 1 No. 1 (2024): January : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i1.56

Abstract

This study investigates the effectiveness of machine learning models in identifying fraudulent financial transactions in real-time. Using a large dataset of transactions, we compare the accuracy, precision, and speed of various models, including logistic regression, random forests, and neural networks. Our findings suggest that ensemble methods yield higher detection rates while minimizing false positives, thus providing a promising approach to financial fraud prevention.
Co-Authors Nathaniel Andrew Davis