Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-07954-y.pdf
Reference22 articles.
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2. Alfaiz NS, Fati SM (2022) Enhanced credit card fraud detection model using machine learning. Electronics 11:662. https://doi.org/10.3390/electronics11040662
3. Belmonte JL, Segura-Robles A, Moreno-Guerrero A-J, Parra-González ME (2020) Machine learning and big data in the impact literature. A bibliometric review with scientific mapping in web of science. Symmetry 12:495
4. Benchaji I, Douzi S, El Ouahidi B et al (2021) Enhanced credit card fraud detection based on attention mechanism and LSTM deep model. J Big Data 8:151. https://doi.org/10.1186/s40537-021-00541-8
5. Bhaskaran S, Marappan R (2021) Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications. Complex Intell Syst. https://doi.org/10.1007/s40747-021-00509-4
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