Quickest Changepoint Detection in General Multistream Stochastic Models: Recent Results, Application...
Quickest Changepoint Detection in General Multistream Stochastic Models: Recent Results, Applications and Future Challenges
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Modern information systems generate large volumes of data with anomalies that occur at unknown points in time and have to be detected quickly and reliably with low false alarm rates. The paper develops a general theory of quickest multistream detection in non-i.i.d. stochastic models when a change may occur in a set of multiple data streams. The fi...
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Quickest Changepoint Detection in General Multistream Stochastic Models: Recent Results, Applications and Future Challenges
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TN_cdi_proquest_journals_2814209599
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2814209599
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2331-8422
