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Explanation Methods for Bayesian Networks: review and application to a maritime scenario
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID-id: 0000-0001-6245-5850
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID-id: 0000-0003-2900-9335
2009 (engelsk)Inngår i: Proceedings of the 3rd Skövde Workshop on Information Fusion Topics (SWIFT 2009), University of Skövde , 2009, s. 28-32Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Surveillance systems analyze and present vast amounts of heterogeneous sensor data. In order to support operators while monitoring such systems, the identification of anomalous behavior or situations that might need further investigation may reduce operators’ cognitive load. Bayesian networks can be used in order to detect anomalies in data. In order to understand the outcome generated from an anomaly detection application based on Bayesian networks, proper explanations must be given to operators.

This paper presents the findings of a literature analysis regarding what constitutes an explanation, which properties an explanation may have and a review of different explanation methods for Bayesian networks. Moreover, we present the empirical tests conducted with two of these methods in a maritime scenario. Findings from the survey and the experiments show that explanation methods for Bayesian networks can be used in order to provide operators with more detailed information to base their decisions on.

sted, utgiver, år, opplag, sider
University of Skövde , 2009. s. 28-32
Serie
Skövde Universisty Studies in Informatics, ISSN 1653-2325 ; 2009:3
Emneord [en]
anomaly detection, maritime situation awareness, Bayesian networks, explanation methods, Explanation Tree, Causal Explanation Tree
HSV kategori
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Identifikatorer
URN: urn:nbn:se:hj:diva-43283Lokal ID: 0;0;miljJAILISBN: 978-91-978513-2-9 (tryckt)OAI: oai:DiVA.org:hj-43283DiVA, id: diva2:1293828
Konferanse
Proceedings of the 3rd Skövde Workshop on Information Fusion Topics (SWIFT 2009), 12-13 Oct 2009, Skövde, Sweden
Tilgjengelig fra: 2010-01-07 Laget: 2019-03-05 Sist oppdatert: 2019-08-23bibliografisk kontrollert

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Helldin, ToveRiveiro, Maria

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