Discriminant approach to detect anomalies using Markov sequences

A.V. Skatkov, A.A. Bryukhovetskiy, D.V. Moiseev, Yu.E. Shishkin

 1Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

Email: dmitriymoiseev@mail.ru

2Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28

DOI: 10.33075/2220-5861-2019-4-43-49

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 Kullbak measure in problems of dynamic clustering of observations of the environmental state

A.V. Skatkov1, A.A. Bryukhovetskiy1, D.V. Moiseev1, Iu.E. Shishkin1,2

1 Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28

E-mail: dmitriymoiseev@mail.ru

DOI: 10.33075/2220-5861-2019-3-35-38

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Intelligent technology development of anomalie detection in the ecosystem of Sevastopol water area

A.V. Skatkov1, A.A. Bryukhovetskiy1, Y.E. Shishkin1,2

1 Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28

Email: iurii.e.shishkin@gmail.com

DOI: 10.33075/2220-5861-2019-1-27-34

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Modeling of anomaly detection processes in complex structured monitoring data

A.A. Bryukhovetskiy1, A.V. Skatkov1, Y.E. Shishkin1,2

1Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

2Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28

E-mail: yourockpro@gmail.com

DOI: 10.33075/2220-5861-2017-3-45-49

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