| Authors |
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| Publication date |
2016
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| Book title |
2016 IEEE Information Theory Workshop (ITW 2016)
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| Book subtitle |
Cambridge, United Kingdom, 11-14 September 2016
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| ISBN |
|
| ISBN (electronic) |
|
| Series |
IEEE Conference Proceedings
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| Event |
Information Theory Workshop (ITW 2016)
|
| Pages (from-to) |
216-220
|
| Publisher |
Piscataway, NJ: IEEE
|
| Organisations |
-
Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
|
| Abstract |
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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| Document type |
Conference contribution
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| Language |
English
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| Published at |
https://doi.org/10.1109/ITW.2016.7606827
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