A hybrid approach for identifying the structure of a Bayesian network model

作者：

Highlights：

• Construction of Bayesian network model for assessing threats of mass protests, using historical case data.

• A hybrid method for discovering Bayesian network structure from expert knowledge and data.

• Improved knowledge elicitation method by incorporating interpretive structural model technique.

• Application of Bayesian network model in threat prediction and policing strategy.

摘要

•Construction of Bayesian network model for assessing threats of mass protests, using historical case data.•A hybrid method for discovering Bayesian network structure from expert knowledge and data.•Improved knowledge elicitation method by incorporating interpretive structural model technique.•Application of Bayesian network model in threat prediction and policing strategy.

论文关键词：Bayesian network,Structure learning,Interpretive structural modeling,Mass protests,Threat assessment

论文评审过程：Received 23 September 2018, Revised 10 April 2019, Accepted 25 April 2019, Available online 26 April 2019, Version of Record 7 May 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.060