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Association rule based situation awareness in web-based environmental monitoring systems

Citation

Zhang, M and Kang, BH and Bai, Q, Association rule based situation awareness in web-based environmental monitoring systems, U- and E-Service, Science and Technology, 13-15 December 2010, Jeju Island, Korea, pp. 224-232. ISBN 978-3-642-17643-2 (2010) [Refereed Conference Paper]

Copyright Statement

Copyright 2010 Springer-Verlag Berlin Heidelberg

Official URL: http://www.sersc.org/FGIT2010/

Abstract

The Tasmanian ICT of CSIRO developed a Sensor Web test-bed sys- tem for the Australian water domain. This system provides an open platform to access and integrate near real time water information from distributed sensor networks. Traditional hydrological models can be adopted to analyze the data on the Sensor Web system. However, the requirements on high data quality and high level domain knowledge may greatly limit the application of these models. To overcome some these limitations, this paper proposes a data mining ap- proach to analyze patterns and relationships among different hydrological events. This approach provides a flexible way to make use of data on the Hy- drological Sensor Web.

Item Details

Item Type:Refereed Conference Paper
Keywords:Sensor Web, data mining, association rules, knowledge discovery, data presentation
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Virtual Reality and Related Simulation
Objective Division:Information and Communication Services
Objective Group:Information Services
Objective Field:Electronic Information Storage and Retrieval Services
Author:Zhang, M (Mr Meng Zhang)
Author:Kang, BH (Professor Byeong Kang)
ID Code:66912
Year Published:2010
Deposited By:Information and Communication Technology
Deposited On:2011-02-18
Last Modified:2014-12-23
Downloads:0

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