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

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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Bibliographic Details
Main Authors: Mianning Hu, Xin Li, Mingfeng Li, Rongchen Zhu, Binzhou Si
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Entropy
Subjects:
telecom fraud
Bayesian network
early warning framework
multiple heterogeneous data
Online Access:https://www.mdpi.com/1099-4300/25/6/892

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