E-Commerce Fraud Detection Model by Computer Artificial Intelligence Data Mining

This study aims to identify e-commerce fraud, solve the financial risks of e-commerce enterprises through big data mining (BDM), further explore more effective solutions through Information fusion technology (IFT), and create an e-commerce fraud detection model (FDM) based on IFT (namely, computer t...

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Detalles Bibliográficos
Autor principal: Li, JiaoLong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110132/
https://www.ncbi.nlm.nih.gov/pubmed/35586101
http://dx.doi.org/10.1155/2022/8783783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110132/
https://www.ncbi.nlm.nih.gov/pubmed/35586101
http://dx.doi.org/10.1155/2022/8783783

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