Högskolan i Skövde

Detecting anomalous behavior in sea traffic: A study of analytical strategies and their implications for surveillance systems 2014 (English)In: International Journal of Information Technology & Decision Making, ISSN 0219-6220, E-ISSN 1793-6845, Vol. 13, no 2, p. 317-360Article in journal (Refereed) Published

Place, publisher, year, edition, pages

World Scientific, 2014. Vol. 13, no 2, p. 317-360

Keywords [en]

analytical reasoning, Anomaly detection, decision making, maritime traffic monitoring

National Category

Human Computer Interaction Computer Sciences

Research subject

Technology; Skövde Artificial Intelligence Lab (SAIL)

Identifiers

URN: urn:nbn:se:his:diva-9031DOI: 10.1142/S021962201450045XISI: 000336410700005Scopus ID: 2-s2.0-84894705090OAI: oai:DiVA.org:his-9031DiVA, id: diva2:715176

Available from: 2014-05-01 Created: 2014-05-01 Last updated: 2023-11-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Riveiro, MariaFalkman, Göran

Search in DiVA

By author/editor

Riveiro, MariaFalkman, Göran

By organisation

School of InformaticsThe Informatics Research Centre

In the same journal

International Journal of Information Technology & Decision Making

On the subject

Human Computer InteractionComputer Sciences

Search outside of DiVA

GoogleGoogle ScholarTotal: 409 hits