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JOURNALS // Artificial Intelligence and Decision Making // Archive
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

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.



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