An Intuitive Dashboard for Bayesian Network Inference

2nd International Conference on Mathematical Modeling in Physical Sciences 2013

物理学;数学

Reddy, Vikas^1 ; Farr, Anna Charisse^1 ; Wu, Paul^1 ; Mengersen, Kerrie^1 ; Yarlagadda, Prasad K. D. V.^1

Queensland University of Technology, 2 George St, QLD 4000, Australia^1

关键词: Bayesian Network inference;    Cause-and-effect relationships;    End users;    Graphical interface;    User interaction;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/490/1/012023/pdf
DOI  :  10.1088/1742-6596/490/1/012023

来源: IOP

【 摘 要 】

Current Bayesian network software packages provide good graphical interface for users who design and develop Bayesian networks for various applications. However, the intended end-users of these networks may not necessarily find such an interface appealing and at times it could be overwhelming, particularly when the number of nodes in the network is large. To circumvent this problem, this paper presents an intuitive dashboard, which provides an additional layer of abstraction, enabling the end-users to easily perform inferences over the Bayesian networks. Unlike most software packages, which display the nodes and arcs of the network, the developed tool organises the nodes based on the cause-and-effect relationship, making the user-interaction more intuitive and friendly. In addition to performing various types of inferences, the users can conveniently use the tool to verify the behaviour of the developed Bayesian network. The tool has been developed using QT and SMILE libraries in C++.