Fraud Detection of Bulk Cargo Theft in Port Using Bayesian Network Models

Fraud Detection of Bulk Cargo Theft in Port Using Bayesian Network Models

The fraud detection of cargo theft has been a serious issue in ports for a long time. Traditional research in detecting theft risk is expert- and survey-based, which is not optimal for proactive prediction. As we move into a pervasive and ubiquitous paradigm, the implications of external environment...

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Bibliographic Details
Main Authors: Rongjia Song, Lei Huang, Weiping Cui, María Óskarsdóttir, Jan Vanthienen
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
fraud detection
predictive modeling
bulk cargo theft
bayesian network
port
Online Access:https://www.mdpi.com/2076-3417/10/3/1056

Internet

https://www.mdpi.com/2076-3417/10/3/1056

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