Results 111 to 120 of about 34,803 (186)
An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection
Big Data and Cognitive ComputingCredit card fraud remains a major cause of financial loss around the world. Traditional fraud detection methods that rely on supervised learning often struggle because fraudulent transactions are rare compared to legitimate ones, leading to imbalanced ...
John Adejoh +5 more
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Payments fraud : consumer considerations [PDF]
This article examines the potential for fraud associated with various "traditional" payment methods and the protective measures that consumers should take when using them.Payment systems ; Checks ; Credit ...
Bruce Cundiff, Terri Bradford
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Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
IEEE AccessDeep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art methods used to analyse and detect complex patterns in ...
Ibomoiye Domor Mienye, Nobert Jere
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A discrete choice approach to model credit card fraud [PDF]
This paper analyses the demographic, socio-economics and banking specific determinants that influence the risk of fraud in a portfolio of credit cards. The data are from recent account archives for cards issued throughout Italy.
Paba, Antonello, Pulina, Manuela
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Unsupervised feature selection and class labeling for credit card fraud
Journal of Big DataLarge datasets frequently lack class labels, and obtaining labeled data often involves substantial financial and time costs, along with risks of label noise and inaccuracies due to manual annotation. In the context of fraud detection, such as credit card
Robert K. L. Kennedy +2 more
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Identity theft: a pernicious and costly fraud [PDF]
On October 3, 2003, the Payment Cards Center of the Federal Reserve Bank of Philadelphia sponsored a workshop on identity theft to examine its growing impact on participants in our payments system.
Julia S. Cheney
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Digital Transformation of Payment Systems: Fraud Issues and Detection Prospects
Вестник Кемеровского государственного университета. Серия: гуманитарные и общественные наукиThe COVID-19 pandemic boosted digitalization in all areas of human activity, including finances. As a result, the problem of credit card fraud is particularly relevant today.
Abduragimova Tat'yana
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Risky business: managing electronic payments in the 21st Century [PDF]
On June 20 and 21, 2005, the Payment Cards Center of the Federal Reserve Bank of Philadelphia, in conjunction with the Electronic Funds Transfer Association (EFTA), hosted a day-and-a-half forum, “Risky Business: Managing Electronic Payments in the 21st ...
Marilyn Bochicchio, Stanley Sienkiewicz
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Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
Credit card fraud detection is a critical challenge in the financial sector, demanding sophisticated approaches to accurately identify fraudulent transactions. This research proposes an innovative methodology combining Neural Networks (NN) and Synthet ic
Gong, Yulu +4 more
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