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Visual Analytics for the Detection of Anomalous Maritime Behavior
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.ORCID iD: 0000-0003-2900-9335
University of Skövde, The Informatics Research Centre. University of Skövde, School of Humanities and Informatics. University of Skövde, Skövde Artificial Intelligence Lab (SAIL).ORCID iD: 0000-0001-8884-2154
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.ORCID iD: 0000-0001-6883-2450
2008 (English)In: Proceedings of 12th International Conference on Information Visualisation IV08 / [ed] Ebad Banissi, Liz Stuart, Mikael Jern, Gennady Andrienko, Francis T. Marchese, Nasrullah Memon, Reda Alhajj, Theodor G. Wyeld, Remo Aslak Burkhard, Georges Grinstein, Dennis Groth, Anna Ursyn, Carsten Maple, Anthony Faiola, and Brock Craft, IEEE Computer Society, 2008, 273-279 p.Conference paper, (Refereed)
Abstract [en]

The surveillance of large sea areas often generates huge amounts of multidimensional data. Exploring, analyzing and finding anomalous behavior within this data is a complex task. Confident decisions upon the abnormality of a particular vessel behavior require a certain level of situation awareness that may be difficult to achieve when the operator is overloaded by the available information. Based on a visual analytics process model, we present a novel system that supports the acquisition of situation awareness and the involvement of the user in the anomaly detection process using two layers of interactive visualizations. The system uses an interactive data mining module that supports the insertion of the user's knowledge and experience in the creation, validation and continuous update of the normal model of the environment.

Place, publisher, year, edition, pages
IEEE Computer Society, 2008. 273-279 p.
Keyword [en]
anomaly detection, interaction, visualization, visual analytics, situation awareness, surveillance
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3625DOI: 10.1109/IV.2008.25ISI: 000259178400042Scopus ID: 2-s2.0-51749122411ISBN: 978-0-7695-3268-4 OAI: oai:DiVA.org:his-3625DiVA: diva2:291325
Conference
12th International Conference Information Visualisation, IV08; London; United Kingdom; 9 July 2008 through 11 July 2008
Available from: 2010-02-01 Created: 2010-02-01 Last updated: 2014-09-22Bibliographically approved

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CiteExportLink to record
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Citation style
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