An Efficient Credit Card Fraud Detection Using SMOTE Under Machine Learning Environment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3180-0_41
Reference24 articles.
1. Shirodkar N et al. (2020) Credit card fraud detection Techniques—A survey. in International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2020 (Institute of Electrical and Electronics Engineers Inc.,). https://doi.org/10.1109/ic-ETITE47903.2020.112.
2. Ali A et al. (2022) Financial fraud detection based on machine learning: a systematic literature review. Appl Sci (Switz) 12 Preprint at https://doi.org/10.3390/app12199637
3. Tiwari P, Mehta S, Sakhuja N, Kumar J, Singh AK (2021) Credit card fraud detection using machine learning: a study
4. Niu X, Wang L, Yang XA (2019) Comparison study of credit card fraud detection: supervised versus unsupervised
5. Alfaiz NS, Fati SM (2022) Enhanced credit card fraud detection model using machine learning. Electron (Switz) 11
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