Published:
May 2004
Proceedings:
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)
Volume
Issue:
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)
Track:
All Papers
Downloads:
Abstract:
The normal operation of a device can be characterized in different temporal states. To identify these states, we introduce a clustering algorithm called Gecko that can determine a reasonable number of clusters using our proposed L method. We then use the RIPPER classification algorithm to describe these states in logical rules. Finally, transitional logic between the states is added to create a finite state automaton. Our empirical results, on data obtained from the NASA shuttle program, indicate that the Gecko clustering algorithm is comparable to a human expert in identifying states and our overall system can track normal behavior and detect anomalies.
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FLAIRS
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)
ISBN 978-1-57735-201-3
Published by The AAAI Press, Menlo Park, California.