RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System

In recent years, detecting credit card fraud transactions has been a difficult task due to the high dimensions and imbalanced datasets. Selecting a subset of important features from a high-dimensional dataset has proven to be the most prominent approach for solving high-dimensional dataset issues, a...

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Detalles Bibliográficos
Autores principales: Padhi, Bharat Kumar, Chakravarty, Sujata, Naik, Bighnaraj, Pattanayak, Radha Mohan, Das, Himansu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739875/
https://www.ncbi.nlm.nih.gov/pubmed/36502020
http://dx.doi.org/10.3390/s22239321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739875/
https://www.ncbi.nlm.nih.gov/pubmed/36502020
http://dx.doi.org/10.3390/s22239321

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