Analytics for awareness in maritime surveillance: from data to tactical insight Caelli, Terrence, Mukerjee, Joyanto and Sparks, Evan 2019, Analytics for awareness in maritime surveillance: from data to tactical insight, Journal of Defense Modeling and Simulation, vol. 16, no. 2, pp. 207-215, doi: 10.1177/1548512918795738. Attached Files Name Description MIMEType Size Downloads Title Analytics for awareness in maritime surveillance: from data to tactical insight Author(s) Caelli, Terrence orcid.org/0000-0001-9281-2556 Mukerjee, Joyanto Sparks, Evan Journal name Journal of Defense Modeling and Simulation Volume number 16 Issue number 2 Start page 207 End page 215 Total pages 9 Publisher SAGE Publications Place of publication Thousand Oaks, C.A. Publication date 2019-04-01 ISSN 1548-5129 1557-380X Keyword(s) data analytics visualization Bayesian networks maritime surveillance simulation Summary Although significant effort has occurred into developing realistic simulation environments for maritime surveillance, relatively little attention has been given to objectively summarizing and providing platforms for querying the mission simulation outputs for post-mission debriefing purposes. In this paper we adopt recently proposed data analytic ideas for this context and illustrate the proposed approach using multi-layered statistical methods from visualization to Bayesian network-based data interpretation models. Analyzing example missions in these terms demonstrates the potential use for such technologies for objective and insightful post-mission analyses. Language eng DOI 10.1177/1548512918795738 Indigenous content off HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2018, The Author(s) Persistent URL http://hdl.handle.net/10536/DRO/DU:30135676 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 19 Mar 2020, 13:16:44 EST Fri, 20 Mar 2020, 04:01:06 EST Fri, 20 Mar 2020, 05:04:30 EST Tue, 07 Apr 2020, 15:17:53 EST Tue, 07 Apr 2020, 15:28:13 EST Tue, 07 Apr 2020, 15:29:05 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 25 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 19 Mar 2020, 13:16:44 EST

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