DETECTION OF CREDIT CARD FRAUDS WITH MACHINE LEARNING SOLUTIONS: AN EXPERIMENTAL APPROACH
Purpose – propose an experimental way to create ML solutions to the problem of detecting credit card fraud. Method or methodology of the work: the article uses machine learning (ML) and data mining methods Results: the paper showed that machine learning (ML) and data mining techniques are effe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Science and Innovation Center Publishing House
2022-10-01
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| Series: | Наука Красноярья |
| Subjects: | |
| Online Access: | http://kras-science.ru/jour/index.php/nk/article/view/121 |
| Summary: | Purpose – propose an experimental way to create ML solutions to the problem of detecting credit card fraud.
Method or methodology of the work: the article uses machine learning (ML) and data mining methods
Results: the paper showed that machine learning (ML) and data mining techniques are effective in improving fraud detection accuracy. The study proposes an experimental way to create ML solutions to the problem aimed at minimizing financial losses by monitoring the client’s behavior when using credit cards. The model is tested on a publicly available dataset available to the research community in terms of detection accuracy.
The sphere of application of the results: in practice, it is advisable to use the results when planning effective strategies for detecting fraud in credit cards. |
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| ISSN: | 2070-7568 2782-3261 |