has been cited by the following article(s):
[1]
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International Conference on Innovative Computing and Communications
Lecture Notes in Networks and Systems,
2023
DOI:10.1007/978-981-19-3679-1_52
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A systematic review of literature on credit card cyber fraud detection using machine and deep learning
PeerJ Computer Science,
2023
DOI:10.7717/peerj-cs.1278
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[3]
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Vehicle pattern recognition in a novel way using KNN and compare prediction accuracy with CNN algorithm
CONTEMPORARY INNOVATIONS IN ENGINEERING AND MANAGEMENT,
2023
DOI:10.1063/5.0177012
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[4]
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An optimal approach for fraud detection by comparing random forest algorithm and support vector machine algorithm for credit card transaction with improved accuracy
CONTEMPORARY INNOVATIONS IN ENGINEERING AND MANAGEMENT,
2023
DOI:10.1063/5.0177045
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[5]
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Chinese corporate fraud risk assessment with machine learning
Intelligent Systems with Applications,
2023
DOI:10.1016/j.iswa.2023.200294
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[6]
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An Innovative Sensing Machine Learning Technique to Detect Credit Card Frauds in Wireless Communications
Wireless Communications and Mobile Computing,
2022
DOI:10.1155/2022/2439205
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[7]
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Comprehensive Analysis of Resampling Methods on Ensemble Learning for Credit Card Fraud Detection
Afyon Kocatepe University Journal of Sciences and Engineering,
2022
DOI:10.35414/akufemubid.1066453
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