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As many sensor networks are currently being deployed for environmental monitoring, there is a growing need to develop systems and applications for managing, processing and retrieving massive amounts of data generated from those networks. In this research, a query answering system with pattern mining techniques is investigated specifically for marine sensor data. We consider three applications of pattern mining: similar pattern search, predictive query and query by clustering. In pattern mining for query answering, we adopt the dynamic time warping (DTW) method for similarity measurement. We also propose the use of a query relaxation approach that recommends users change parameters of a given query to get an answer. Finally, we show implementation results of pattern query answering in a marine sensor network deployed in the South East of Tasmania, Australia. Pattern query answering system benefits in accessing and discovering knowledge from sensor data for decision making purposes.

Item Type:	Non Refereed Article
Keywords:	environmental informatics, information retrieval, data mining, marine sensor data
Research Division:	Information and Computing Sciences
Research Group:	Artificial Intelligence and Image Processing
Research Field:	Pattern Recognition and Data Mining
Objective Division:	Expanding Knowledge
Objective Group:	Expanding Knowledge
Objective Field:	Expanding Knowledge in the Earth Sciences
UTAS Author:	Shahriar, MS (Dr Sumon Shahriar)
UTAS Author:	De Souza, P (Professor Paulo de Souza Junior)
UTAS Author:	Timms, GP (Dr Gregory Timms)
ID Code:	116541
Year Published:	2012
Web of Science® Times Cited:	3
Deposited By:	Information and Communication Technology
Deposited On:	2017-05-12
Last Modified:	2017-05-12
Downloads:	0