A Framework for Analyzing Fraud Risk Warning and Interference Effects by Fusing Multivariate Heterogeneous Data: A Bayesian Belief Network

In the construction of a telecom-fraud risk warning and intervention-effect prediction model, how to apply multivariate heterogeneous data to the front-end prevention and management of telecommunication network fraud has become one of the focuses of this research. The Bayesian network-based fraud ri...

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Detalles Bibliográficos
Autores principales: Hu, Mianning, Li, Xin, Li, Mingfeng, Zhu, Rongchen, Si, Binzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297031/
https://www.ncbi.nlm.nih.gov/pubmed/37372236
http://dx.doi.org/10.3390/e25060892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297031/
https://www.ncbi.nlm.nih.gov/pubmed/37372236
http://dx.doi.org/10.3390/e25060892

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