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A framework for scientific data mining in hydro-acoustic data sets.

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Buelens, B and Williams, R and Sale, AHJ and Pauly, T (2004) A framework for scientific data mining in hydro-acoustic data sets. In: Second International Conference on Artificial Intelligence in Science and Technology (AISAT), 21-25 November, 2004, Hobart, Tasmania, Australia.

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Abstract

A data mining framework for handling large volumes of scientific hydro-acoustic measurements is proposed. The method is applicable to data collected by the new generation of multibeam echosounders, capable of logging acoustic data for the full watercolumn. S; such instruments will be used for fisheries applications in the near future. The data mining technique is based on an inverse modeling of the underlying physics and electronics of a generic multibeam sonar system. A set of tagged soundings is obtained, which serves as a base for further advanced analysis techniques. It is anticipated that the proposed framework will serve as a research tool for the scientific fisheries research community.

Item Type: Conference or Workshop Item (Paper)
Keywords: Scientific Data Mining, Multi-beam Sonar, Hydro-Acoustic Data Analysis, Fisheries Research.
Page Range: pp. 104-108
Date Deposited: 12 Dec 2004
Last Modified: 18 Nov 2014 03:10
URI: http://eprints.utas.edu.au/id/eprint/114
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