Dandelion optimization based feature selection with machine learning for digital transaction fraud detection

Digital transactions relying on credit cards are gradually improving in recent days due to their convenience. Due to the tremendous growth of e-services (e.g., mobile payments, e-commerce, and e-finance) and the promotion of credit cards, fraudulent transaction counts are rapidly increasing. Machine...

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Bibliographic Details
Main Authors: Ebtesam Al-Mansor, Mohammed Al-Jabbar, Arwa Darwish Alzughaibi, Salem Alkhalaf
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024209?viewType=HTML