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Pattern Mining for Query Answering in Marine Sensor Data


Shahriar, S and de Souza Junior, P and Timms, G, Pattern Mining for Query Answering in Marine Sensor Data, Proceedings of the Digital Information Management International Conference 2011, 26-28 Sept 2013, Melbourne, Vic, pp. 288-293. ISBN 978-1-4577-1537-2 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 IEEE

DOI: doi:10.1109/ICDIM.2011.6093319


An integrated pattern mining technique for query answering is proposed for marine sensor data. In pattern query, we adopt the dynamic time warping (DTW) method and propose the use of a query relaxation approach in finding similar patterns. We further calculate prediction from discovered similar patterns in marine sensor data. The predictive values are then compared with the forecast from hydrodynamic model data. In addition, we present query answering using a clustering technique. Finally, we show implementation results in a marine sensor network deployed in the South East of Tasmania, Australia.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems not elsewhere classified
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:de Souza Junior, P (Professor Paulo de Souza Junior)
ID Code:83846
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2013-03-25
Last Modified:2014-07-30

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