Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis

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dc.creatorBergsten, Ulla
dc.creatorSchubert, Johan
dc.creatorSvensson, Per
dc.date2003-05-16
dc.date.accessioned2026-07-07T03:19:40Z
dc.date.available2026-07-07T03:19:40Z
dc.descriptionWe describe how specialized database technology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign submarine intruders during the Eighties and early Nineties. Among several approaches tried some yielded interesting information, although most of the key questions remain unanswered. We conclude with a survey of belief-function- and genetic-algorithm-based methods which were proposed to support interpretation of intelligence reports and prediction of future submarine positions, respectively.
dc.description4 pages, 7 figures
dc.identifierhttps://arxiv.org/abs/cs/0305022
dc.identifierhttp://arxiv.org/abs/cs/0305022
dc.identifierin Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD'97), pp. 127-130, Newport Beach, USA, 14-17 August 1997, The AAAI Press, Menlo Park, 1997
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31559
dc.subjectArtificial Intelligence
dc.subjectDatabases
dc.subjectNeural and Evolutionary Computing
dc.subjectH.2.8; H.4.2; I.2.3; I.5.3
dc.titleApplying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
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