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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Главные авторы:	Tebueva, F. B., Тебуева, Ф. Б., Kopytov, V. V., Копытов, В. В., Petrenko, V. I., Петренко, В. И.
格式:	Статья
語言:	English
出版:	Little Lion Scientific 2018
主題:	Anomalous behavior Attractor Correlation dimension Data of information sensors
在線閱讀:	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

由 Tebueva, F. B., Тебуева, Ф. Б., Kopytov, V. V., Копытов, В. В., Petrenko, V. I., Петренко, В. И.
出版 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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