Proceedings of the 2019 International Conference on Education Science and Economic Development (ICESED 2019) 2020
DOI: 10.2991/icesed-19.2020.14
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Credit Card Transaction Fraud Using Machine Learning Algorithms

Abstract: Credit cards offered significant advantages over all forms of money: they're pocket size, easily portable, relatively secure and have no intrinsic value themselves. However, payment fraud is an ideal use case for machine learning algorithms and has a long track record of successful use. Machine learning has just been invented, or just been applied to payments fraud for the first time. This paper focuses on the main function of the feature selection in supervised model. The methods used to support the topic are… Show more

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Cited by 5 publications
(4 citation statements)
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“…ANN was used (Popat and Chaudhary 2018) and accuracy is 85%. (Huang 2020) [6]. In this application, the accuracy is 89%, which is comparatively more than the remaining models.…”
Section: Discussionmentioning
confidence: 84%
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“…ANN was used (Popat and Chaudhary 2018) and accuracy is 85%. (Huang 2020) [6]. In this application, the accuracy is 89%, which is comparatively more than the remaining models.…”
Section: Discussionmentioning
confidence: 84%
“…According to the research credit card approval, 65 related research articles were evaluated and 98 articles were published in IEEE and Science Direct, 147 articles were published in Google Scholar, and 12,970 articles were published in Springerlink [5]. [6]In this work (Huang 2020) they used a decision tree algorithm with an improved accuracy of 89%. [6][7][8][9][10][4] (Warghade, Desai, and Patil 2020) implemented a logistic regression algorithm with an accuracy of 79%.…”
Section: Introductionmentioning
confidence: 99%
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