3 天前 - … a comprehensive study on applying machine learning (ML) techniques for realtime
credit card fraud detection… With the increasing prevalence of credit card fraud, financial …

7 天前 - … Comparative analysis of diverse classifiers yields nuanced … In summary, the research
advocates for strategic data … in the intricate landscape of credit card fraud detection—an …

7 天前 - … applications ranging from credit card fraud detection to anti-… digital age has introduced
complex fraud challenges that … techniques such as machine learning, deep learning, and …

14 天前 - … the insights from existing studies, this review provides comprehensive … of using
the Amazon SageMaker with autoencoder based anomaly detection for FD in credit card …

17 天前 - … comprehensive review and analysis of current methods and technologies for detecting
and preventing credit card fraud… into the current state of credit card fraud detection and …

18 天前 - … Comparative analysis of diverse classifiers yields … machine learning algorithms for
credit card fraud detection, yielding diverse conclusions. This paper adopts a comprehensive …

18 天前 - … employed machine learning algorithms to detect credit card fraud in real-time,
using … false alerts and improve the overall effectiveness of fraud detection efforts. One of the …

19 天前 - … to accurately assess credit risk using conventional methods. … comprehensive
overview of machine learning algorithms used for credit risk prediction in the context of credit card …

21 天前 - … ) conducted a comparative analysis of … Overall, this research contributes valuable
insights into the effectiveness of machine learning algorithms for credit card fraud detection. …

25 天前 - … highly skewed credit card fraud data sourced from European … selection, and detection
techniques on fraud detection. … the comparative analysis favoring k-nearest neighbor over …