Leveraging Mixture of Experts and Deep Learning-Based Data Rebalancing to Improve Credit Fraud Detection

Leveraging Mixture of Experts and Deep Learning-Based Data Rebalancing to Improve Credit Fraud Detection

Credit card fraud detection is a critical challenge in the financial sector due to the rapidly evolving tactics of fraudsters and the significant class imbalance betweenegitimate and fraudulent transactions. Traditional models, while effective to some extent, often suffer from high false positive ra...

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Bibliographic Details
Main Authors: Zeyuan Yang, Yixuan Wang, Haokun Shi, Qiang Qiu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Big Data and Cognitive Computing
Subjects:
credit card fraud detection
financial security
mixture of experts
ensembleearning
synthetic data generation
Online Access:https://www.mdpi.com/2504-2289/8/11/151
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