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A novel measure for data stream anomaly detection in a bio-surveillance system

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3 Author(s)
Ko, A.H.R. ; Decision Support Syst. for Command & Control (DSS-C2) Sect., Defence R & D Canada - Valcartier, Quebec City, QC, Canada ; Jousselme, A.-L. ; Maupin, P.

The primary concern of a bio-surveillance system is to analyze and interpret data as they are collected and then decide whether further investigation is required. Decision makers need to know whether the data in the current test interval are sufficiently different from expected counts to cause an alert. Despite the fact that a number of detection methods have been proposed, we notice in the literature the users of current systems can still experience extremely high false alarm rate. We propose a novel measure that takes into account both anomaly magnitude and anomaly frequencies for bio-surveillance, and experimental results show that the proposed measure performs better than conventional measures for bio-surveillance.

Published in:

Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on

Date of Conference:

5-8 July 2011

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