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Discover and visualize association rules from sensor observations on the web

journal contribution
posted on 2023-05-17, 22:23 authored by Zhang, M, Byeong KangByeong Kang, Bai, Q
Nowadays, Web-based applications has became a common practice in environment monitoring. These applications provide open platforms for users to discover access and integrate near real-time sensor data which is collected from distributed sensors and sensor networks. To make use of the shared sensor data on the Web, conceptual models in a particular domain are normally adopted. However, most conceptual models require high quality data and high level domain knowledge. Such limitations greatly limit the application of these models. To overcome some of these limitations, this paper proposes a data-mining approach to analyze patterns and relationships among different sensor data sets. This approach provides a flexible way for users to understand hidden relationships in shared sensor data, and can help them to make use Web-based sensor systems better.

History

Publication title

Journal of Supercomputing

Volume

65

Pagination

4-15

ISSN

0920-8542

Department/School

School of Information and Communication Technology

Publisher

Springer New York LLC

Place of publication

New York, USA

Rights statement

Copyright 2011 Springer Science+Business Media, LLC

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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