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Association Rule Based Situation Awareness in Web-Based Environmental Monitoring Systems

  • Meng Zhang
  • Byeong Ho Kang
  • Quan Bai
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 124)

Abstract

The Tasmanian ICT of CSIRO developed a Sensor Web test-bed system 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 approach to analyze patterns and relationships among different hydrological events. This approach provides a flexible way to make use of data on the Hydrological Sensor Web.

Keywords

Sensor Web data mining association rules knowledge discovery data presentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Meng Zhang
    • 1
  • Byeong Ho Kang
    • 1
  • Quan Bai
    • 2
  1. 1.School of Computing and Information SystemsUniversity of TasmaniaHobartAustralia
  2. 2.CSIROTasmanian ICT CentreHobartAustralia

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