- Anomaly identification with limited sampling budget
- IEEE Conference Proceedings
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Korteweg-de Vries Institute for Mathematics (KdVI)
We consider a network of data streams from which an anomalous process with known target distribution is to be identified. Because in practice obtaining observations may be expensive, we assume that there is a constraint on the total number of observations based on which the decision has to be made. We derive a sufficient condition on the sampling budget such that the error probability is kept below some desired level. Furthermore, we show how to obtain a sampling allocation that can improve upon equal sampling allocation and achieves the desired accuracy.
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- Proceedings title: 2016 IEEE Information Theory Workshop (ITW 2016): Cambrdige, United Kindom, 11-14 September 2016
Place of publication: Piscataway, NJ
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