The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems

Purpose: The goal is the timely detection of uncharacteristic behavior of the observed processes in the systems of situational management, leading to the development or occurrence of emergency situations. Methodological approach: In the article, it is proposed to analyze the change dynamics in the c...

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Autores principales:	Tebueva, F. B., Тебуева, Ф. Б., Kopytov, V. V., Копытов, В. В., Petrenko, V. I., Петренко, В. И.
Formato:	Статья
Lenguaje:	English
Publicado:	Little Lion Scientific 2018
Materias:	Anomalous behavior Attractor Correlation dimension Data of information sensors
Acceso en línea:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85046374604&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort+caucas+fed+univ&sid=c4dcc811c0f8dbdcc0d9f9c482c1872b&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=2&citeCnt=0&searchTerm= https://dspace.ncfu.ru:443/handle/20.500.12258/208
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The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems

por Tebueva, F. B., Тебуева, Ф. Б., Kopytov, V. V., Копытов, В. В., Petrenko, V. I., Петренко, В. И.
Publicado 2018

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Статья

The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems

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