Outliers detection and classification in wireless sensor networks
Abstract
null null In the past few years, many wireless sensor networks had been deployed in the real world to collect large amounts of raw sensed data. However, the key challenge is to extract high-level knowledge from such raw data. In the applications of sensor networks, outlier/anomaly detection has been paid more and more attention. Outlier detection can be used to filter noisy data, find faulty nodes, and discover interesting events. In this paper...
Paper Details
Title
Outliers detection and classification in wireless sensor networks
Published Date
Jul 1, 2013
Journal
Volume
14
Issue
2
Pages
157 - 164
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