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

被引：0

作者：

Zhang, Meng ^{[1
]}

Kang, Byeong Ho ^{[1
]}

Bai, Quan ^{[2
]}

机构：

[1] Univ Tasmania, Sch Comp & Informat Syst, Hobart, Tas, Australia

[2] CSIRO, Tasmanian ICT Ctr, Hobart, Tas, Australia

来源：

U- AND E-SERVICE, SCIENCE AND TECHNOLOGY | 2010年 / 124卷

关键词：

Sensor Web; data mining; association rules; knowledge discovery; data presentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：224 / +

页数：3

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