Machine learning in classification time series with fractal properties

L Kirichenko, T Radivilova, V Bulakh - Data, 2018 - mdpi.com
The article presents a novel method of fractal time series classification by meta-algorithms
based on decision trees. The classification objects are fractal time series. For modeling …

Time series classification based on fractal properties

V Bulakh, L Kirichenko… - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
The article considers classification task of fractal time series by the meta algorithms based
on decision trees. Binomial multiplicative stochastic cascades are used as input time series …

Development of QoS methods in the information networks with fractal traffic

Y Daradkeh, L Lyudmyla, T Radivilova - International Journal of Electronics …, 2018 - ijet.pl
The paper discusses actual task of ensuring the quality of services in information networks
with fractal traffic. The generalized approach to traffic management and quality of service …

Analyzes of the distributed system load with multifractal input data flows

L Kirichenko, T Radivilova - … and application of CAD systems in …, 2017 - ieeexplore.ieee.org
The paper proposes a solution an actual scientific problem related to load balancing and
efficient utilization of resources of the distributed system. The proposed method is based on …

[PDF][PDF] Classification of multifractal time series by decision tree methods

B Vitalii, L Kirichenko, T Radivilova - … International Conference on …, 2018 - researchgate.net
The article considers classification task of model fractal time series by the methods of
machine learning. To classify the series, it is proposed to use the meta algorithms based on …

Investigation of multifractal properties of additive data stream

I Ivanisenko, L Kirichenko… - 2016 IEEE First …, 2016 - ieeexplore.ieee.org
The work presents results of a numerical study of fractal characteristics of multifractal stream
at addition of stream, which does not have multifractal properties. They showed that the …

Intrusion detection based on machine learning using fractal properties of traffic realizations

T Radivilova, L Kirichenko, D Ageyev… - … on Advanced Trends …, 2019 - ieeexplore.ieee.org
In this paper, we consider the problem of intrusion detection in computer networks by the
realizations of network traffic. To solve this problem, time series analysis methods, fractal …

The multifractal load balancing method

I Ivanisenko, T Radivilova - 2015 Second International …, 2015 - ieeexplore.ieee.org
The load-balancing system, built on the basis of a subsystem load balancer and subsystem
control and monitoring that closely interact with each other was propose in work. This system …

Calculation of distributed system imbalance in condition of multifractal load

T Radivilova, L Kirichenko… - 2016 Third International …, 2016 - ieeexplore.ieee.org
The method of calculating distributed system imbalance based on the calculation of node
system load was proposed in the work. Calculation of node system load is carried out by …

Calculation of routing value in MPLS network according to traffic fractal properties

T Radivilova, L Kirichenko… - 2017 2nd International …, 2017 - ieeexplore.ieee.org
Method for calculating routing cost of MPLS network is presented in the work. This method
allows to minimize routing cost, taking into account traffic fractal properties, choice of traffic …