This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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417
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Defense and National Security
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| Abstract - #308087 |
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Title:
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Statistical Surveillance and Alarm Activation in Sensor Networks
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Author(s):
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James A. Shine*+ and James E. Gentle
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Companies:
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U.S. Army and George Mason University
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Address:
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4218 Alcott Street, Alexandria, 22309-1302,
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Keywords:
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anomaly detection ;
pattern discovery ;
sensor networks
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Abstract:
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An important application for networks of multiple sensors is determining what is normal activity and what is anomalous activity that needs to be examined in more detail. While approaches such as Bayesian networks work well on large and diverse networks, a simpler approach may be useful for smaller networks. We have devised an algorithm for keeping an ongoing record of sensor activation events and turning on an alarm when the frequency of events exceeds a set threshold. The algorithm is devised for efficiency of computation and storage. Results from both Monte Carlo data and real sensor data will be discussed.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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