July 15, 2025Open Access

A Systematic Review of Machine Learning in Credit Card Fraud Detection

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Authors

FMFatemeh Moradi MHMehran Tarif Hokmabadi MHMohammadHossein Homaei

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Overview

Systematic review analyzes 52 machine learning studies on credit card fraud detection, highlighting algorithm performance and implications for financial institutions.

Key Points

Ensemble and tree-based models, like Random Forest, achieve up to 99.98% accuracy in credit card fraud detection.
Deep learning methods excel in recognizing temporal patterns but require substantial computational power.
Emerging algorithms such as quantum machine learning show potential, yet face challenges in scalability and complexity.
There is a growing emphasis on model interpretability, real-time processing, and privacy in the financial sector.

Cite This Study

Moradi et al. (2025) studied this question.

synapsesocial.com/papers/689a02b6e6551bb0af8cc4e8 https://doi.org/10.20944/preprints202507.1085.v1

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July 15, 2025Open Access

A Systematic Review of Machine Learning in Credit Card Fraud Detection

View Full Paper

Ask AI

Bookmark

Authors

FMFatemeh Moradi MHMehran Tarif Hokmabadi MHMohammadHossein Homaei

Discussion

Member takes

Overview

Systematic review analyzes 52 machine learning studies on credit card fraud detection, highlighting algorithm performance and implications for financial institutions.

Key Points

Ensemble and tree-based models, like Random Forest, achieve up to 99.98% accuracy in credit card fraud detection.
Deep learning methods excel in recognizing temporal patterns but require substantial computational power.
Emerging algorithms such as quantum machine learning show potential, yet face challenges in scalability and complexity.
There is a growing emphasis on model interpretability, real-time processing, and privacy in the financial sector.

Cite This Study

Moradi et al. (2025) studied this question.

synapsesocial.com/papers/689a02b6e6551bb0af8cc4e8 https://doi.org/10.20944/preprints202507.1085.v1

View Full Paper

Ask AI

Bookmark