Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis

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.

• Publication year

  1997

• Venue

  Knowledge Discovery and Data Mining

• Publication date

  1997-08-14

• Fields of study

  Computer Science, Engineering, Political Science

• Identifiers
  arXiv cs/0305022
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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