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.
History
Publication title
U- and E-Service, Science and Technology
Editors
T Kim, J Ma, W Fang, B Park, BH Kang, D Slezak
Pagination
224-232
ISBN
978-3-642-17643-2
Department/School
School of Information and Communication Technology
Publisher
Springer-Verlag
Place of publication
Germany
Event title
U- and E-Service, Science and Technology (UNESST), held as part of the Future Generation Information Technology Conference (FGIT)
Event Venue
Jeju Island, Korea
Date of Event (Start Date)
2010-12-13
Date of Event (End Date)
2010-12-15
Rights statement
Copyright 2010 Springer-Verlag Berlin Heidelberg
Repository Status
Restricted
Socio-economic Objectives
Electronic information storage and retrieval services