Open Access
| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01116 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/matecconf/202439201116 | |
| Published online | 18 March 2024 | |
- L. Yang, M. Xu, L. Xing. Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model. J. Retail. Consum. Serv., 64, (2022) [Google Scholar]
- A. Cherif, A. Badhib, H. Ammar, S. Alshehri, M. Kalkatawi, A. Imine. Credit card fraud detection in the era of disruptive technologies: A systematic review. J. King Saud Univ. – Comput. Inf. Sci., 35, 1, 145-174, (2023) [Google Scholar]
- R. Bin Sulaiman, V. Schetinin, P. Sant. Review of machine learning approach on credit card fraud detection. Hum. Centric Intell. Syst., 2, 1-2, 55-68, (2022) [CrossRef] [Google Scholar]
- E. Esenogho, I.D. Mienye, T.G., Swart, K., Aruleba, G. Obaido. A neural network ensemble with feature engineering for improved credit card fraud detection. IEEE Access, 10, 16400-16407, (2022) [CrossRef] [Google Scholar]
- I.D. Mienye, Y. Sun. A Deep Learning Ensemble with Data Resampling for Credit Card Fraud Detection. IEEE Access, 11, 30628-30638, (2023) [CrossRef] [Google Scholar]
- N.A. Azhar, M.S.M. Pozi, A.M. Din, A. Jatowt. An investigation of SMOTE-based methods for imbalanced datasets with data complexity analysis. IEEE Trans. Knowl. Data Eng., 35, 7, 6651-6672, (2022) [Google Scholar]
- E. Jayanthi, T. Ramesh, R.S. Kharat, M.R.M. Veeramanickam, N. Bharathiraja, R. Venkatesan, R. Marappan. Cybersecurity enhancement to detect credit card fraud in health care using new machine learning strategies. Soft Comput., 27, 11, 7555-7565, (2023) [CrossRef] [Google Scholar]
- D.S. Hegde, D. Samanta, S. Dutta. Classification framework for fraud detection using hidden markov model. In Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021, 29-36, (2022) Springer Singapore [Google Scholar]
- B. Stojanović, J. Božić. Robust Financial Fraud Alerting System Based in the Cloud Environment. Sens., 22, 23, 1-20, (2022) [Google Scholar]
- V.S.S. Karthik, A. Mishra, U.S. Reddy. Credit card fraud detection by modelling behaviour pattern using hybrid ensemble model. Arab J Sci Eng., 1-11, (2022) [Google Scholar]
- M. Maashi, B. Alabduallah, F. Kouki. Sustainable financial fraud detection using Garra Rufa fish optimization algorithm with ensemble deep learning. Sustainability, 15, 18, 1-16, (2023) [Google Scholar]
- H. Ahmad, B. Kasasbeh, B. Aldabaybah, E. Rawashdeh. Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS). Int. J. Inf. Technol., 15, 1, 325-333, (2023) [Google Scholar]
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