A Systematic Review of Machine Learning in Credit Card Fraud Detection Under Original Class Imbalance

Credit card fraud remains a significant concern for financial institutions due to its low prevalence, evolving tactics, and the operational demand for timely, accurate detection. Machine learning (ML) has emerged as a core approach, capable of processing large-scale transactional data and adapting t...

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書誌詳細

主要な著者:	Nazerke Baisholan, J. Eric Dietz, Sergiy Gnatyuk, Mussa Turdalyuly, Eric T. Matson, Karlygash Baisholanova
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-10-01
シリーズ:	Computers
主題:	credit card fraud detection financial fraud imbalanced classification machine learning systematic literature review Kitchenham approach
オンライン･アクセス:	https://www.mdpi.com/2073-431X/14/10/437
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