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Time series shape association measures and local trend association patterns
Batyrshin I., Solovyev V., Ivanov V.
patterns from the pairs of time series are described. Examples of application of these methods to analysis
Forecasting exchange rates using the ARIMA method
Lebedev Y.B.
The problem of time series research is relevant for all areas of science and practice. Time series
Time series analysis in self-regulating systems
Fedorov V.F.
This paper describes a new approach to time series analysis of quantitative parameters
Constructing a Neu-ral-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity
Gabdrakhmanova N.
Constructing a Neu-ral-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series
Application of time series to performance assurance of Big Data environment
Balasanov, Y., Zibitsker, B., Bakanas, T., Hammond, E., Islas-Martinez, M.
. This information is used as input for exploratory analysis techniques specific to time series data. The data
Detection of Data Anomalies at Network Traffic Analysis
Antipov, S. G., Vagin, V. N., Fomina, M. V., Антипов, С. Г., Вагин, В. Н., Фомина, М. В.
to information transferred over networks on the basis of time series analysis. Algorithms of anomaly search
FORECASTING TIME SERIES WITH METRIC ANALYSIS
Ivanov V.V., Kryanev A.V., Sevastianov L.A., Udumyan D.K.
The report uses a time series prediction scheme based on metric analysis. The scheme provides
Analysis of Time Series Using Differential Geometry Methods
Artemenko O.A.
is considered from applied positions. To solve the problem, a mathematical model is proposed for the analysis
Stratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients
Yulmetyev R., Demin S., Emelyanova N., Gafarov F., Hänggi P.
series of the dynamics of human gait are considered. We carried out the comparative analysis of the data
Application of the fourfold tables method for analysis of dynamics of social systems
Shikhalev A., Panasyuk M., Burilov A.
of the dynamics in short time series, including that with barely discernible levels, using standardized fourfold

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