Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis

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We 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.
4 pages, 7 figures

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Artificial Intelligence, Databases, Neural and Evolutionary Computing, H.2.8; H.4.2; I.2.3; I.5.3

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http://salesiana.dossiersoluciones.com/handle/123456789/31559

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0305022
 http://arxiv.org/abs/cs/0305022
 in 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

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arXiv