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Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Saab Security and Defence Solutions, Järfälla, Sweden. (Skövde Artificial Intelligence Lab (SAIL))
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0001-8884-2154
2015 (English)In: Annals of Mathematics and Artificial Intelligence, ISSN 1012-2443, E-ISSN 1573-7470, Vol. 74, no 1-2, p. 67-94Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer, 2015. Vol. 74, no 1-2, p. 67-94
Keywords [en]
Anomaly detection, Conformal prediction, Local outlier factor, Maritime surveillance, Trajectory data
National Category
Computer Sciences
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-9034DOI: 10.1007/s10472-013-9381-7ISI: 000355747600005Scopus ID: 2-s2.0-84930417109OAI: oai:DiVA.org:his-9034DiVA, id: diva2:715179
Available from: 2014-05-01 Created: 2014-05-01 Last updated: 2018-01-11Bibliographically approved

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Laxhammar, RikardFalkman, Göran

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