An intuitive dashboard for Bayesian network inference

Reddy, Vikas, Farr, Anna Charisse, Wu, Paul P., Mengersen, Kerrie, & Yarlagadda, Prasad K.D.V. (2014) An intuitive dashboard for Bayesian network inference. In Journal of Physics: Conference Series, Institute of Physics Publishing Ltd., 012023.

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Abstract

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++.

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ID Code: 63346
Item Type: Conference Paper
Refereed: Yes
Additional Information: 2nd International Conference on Mathematical Modeling in Physical Sciences 2013 (IC-MSQUARE 2013)
1–5 September 2013, Prague, Czech Republic
Keywords: Bayesian Networks, Inference, Visualisation
DOI: 10.1088/1742-6596/490/1/012023
ISSN: 1742-6596
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Probability Theory (010404)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Software Engineering (080309)
Divisions: Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2013 [please consult the author]
Copyright Statement: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.
Deposited On: 15 Oct 2013 00:08
Last Modified: 23 Jun 2015 01:49

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