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Abstract

The Tasmanian ICT of CSIRO developed a Sensor Web test-bed system for the
Australian water domain in south-east of Tasmania. 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 analyse 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 project proposes a data mining approach to analyse patterns and
relationships among different hydrological events. This approach provides a flexible
way to make use of data on the Hydrological Sensor Web.
To make data mining rules easy to understand, this project developed the user friendly
interface demo to visualize the data mining rules and describe the application of sorts
of rules.

Item Type:	Thesis - Coursework Master
Authors/Creators:	Zhang, M
Copyright Holders:	The Author
Copyright Information:	Copyright 2010 the author
Additional Information:	Thesis (MComp)--University of Tasmania, 2010. Includes bibliographical references
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