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Artificial Intelligence and Decision Making, 2016, Issue 2, Pages 55–59 (Mi iipr284)  
Data mining

Bayesian estimate of data stream abnormality

S. A. Amelkin, M. V. Shustova

Ailamazyan Program Systems Institute of Russian Academy of Sciences
Full-text PDF (397 kB)
Abstract: This paper considers the problem of estimating the probability of abnormal data which are limited by range of acceptable values. The Bayesian estimation is used as a basis in the proposed universal method. The experimental part based on the examples of the analysis of telemetry data stream from the spacecraft.
Keywords: Bayesian probability, anomaly, forecasting, spacecraft, telemetry data.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. A. Amelkin, M. V. Shustova, “Bayesian estimate of data stream abnormality”, Artificial Intelligence and Decision Making, 2016, no. 2, 55–59
Citation in format AMSBIB
\Bibitem{AmeShu16}
\by S.~A.~Amelkin, M.~V.~Shustova
\paper Bayesian estimate of data stream abnormality
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 2
\pages 55--59
\mathnet{http://mi.mathnet.ru/iipr284}
\elib{https://elibrary.ru/item.asp?id=26336703}
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  • https://www.mathnet.ru/eng/iipr/y2016/i2/p55
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