High-Cardinality Categorical Attributes and Credit Card Fraud Detection
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- Aderemi O. Adewumi & Andronicus A. Akinyelu, 2017. "A survey of machine-learning and nature-inspired based credit card fraud detection techniques," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 937-953, November.
- Juszczak, Piotr & Adams, Niall M. & Hand, David J. & Whitrow, Christopher & Weston, David J., 2008. "Off-the-peg and bespoke classifiers for fraud detection," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4521-4532, May.
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- Alexey Ruchay & Elena Feldman & Dmitriy Cherbadzhi & Alexander Sokolov, 2023. "The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning," Mathematics, MDPI, vol. 11(13), pages 1-15, June.
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Keywords
credit card fraud; fraud-detection system; high-cardinality attribute; pattern recognition; clustering; deep learning;All these keywords.
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