Abstract
The amount of online transactions is growing these days to a large number. A big portion of these transactions contains credit card transactions. The growth of online fraud, on the other hand, is notable, which is generally a result of ease of access to edge technology for everyone. There has been research done on many models and methods for credit card fraud prevention and detection. Artificial Immune Systems is one of them. However, organizations need accuracy along with speed in the fraud detection systems, which is not completely gained yet. In this process we mined the transaction of each data and it finally predict the fraud detection of data.
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CITATION STYLE
Sushma, V., Neelamma, S., Machaiah, Y., & Fathima, S. (2023). Credit Card Fraud Detection using Machine Learning. In 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023 (Vol. 2023-June, pp. 861–864). Grenze Scientific Society. https://doi.org/10.55041/ijsrem48219
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