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.
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Zhang, M., Kang, B.H., Bai, Q. (2010). Association Rule Based Situation Awareness in Web-Based Environmental Monitoring Systems. In: Kim, Th., Ma, J., Fang, Wc., Park, B., Kang, BH., Ślęzak, D. (eds) U- and E-Service, Science and Technology. UNESST 2010. Communications in Computer and Information Science, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17644-9_25
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DOI: https://doi.org/10.1007/978-3-642-17644-9_25
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