INCREASING THE OPERABILITY OF ENVIRONMENTAL MONITORING BY DATA MINING OF INFO-COMMUNICATION PROCESSES

V.P. Evstigneev,  D.Yu. Voronin,  A.V. Skatkov,  Yu.V.Tacyi

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

Email: vald_e@rambler.ru

DOI: 10.33075/2220-5861-2019-4-54-59

UDC 621.391

Abstract:

     In present study features of intellectual analysis of processes of informational service of environmental monitoring systems in order to increase the efficiency of decisions are considered. A complex approach is focused on improving the efficiency of environmental monitoring based on the intellectual analysis of info-communication processes. The potential of using modern tools for clustering info-communication network objects in accordance with the characteristic features of the dynamics of their functioning in solving environmental monitoring problems is shown.

     The authors revealed a typical “profiles” of the load by a non-hierarchical method of cluster analysis k-medoids, which is a robust analogue of the more common method of k-means. Registration data of daily load on 133 switch nodes of the info-communication network of Internet provider for the period 01.06.2018 to 01.04.2019 was used in this study. The data consists of chronological series of the total duration of Internet traffic through the switch for each day. The objective classification resulted in four typical profiles (clusters) of intra-week load. The following analysis strategy was chosen: 1) application of the Principal Components Analysis (PCA) to establish the main modes of load variability in the switch-node networks; 2) spectral analysis of PCA-scores.

     The final section of the study has discussion of examples of the suggested approach application, in particular, for the tasks of building an environmental monitoring system. The data of the info-communication network has characteristic timescale corresponded to a week. In the real environmental monitoring system, natural processes are objects of monitoring as a rule and many of them have similar characteristic timescale of its evolution (for example, synoptic processes develop within 3-7 days).

Keywords: environmental monitoring, data mining, info-communication system, information services, classification, R.

To quote, follow the DOI link and use the Actions-Cite option or copy:
[IEEE] V. P. Evstigneev, D. Y. Voronin, A. V. Skatkov, and Y. V. Tacyi, “INCREASING THE OPERABILITY OF ENVIRONMENTAL MONITORING BY DATA MINING OF INFO-COMMUNICATION PROCESSES,” Monitoring systems of environment, vol. 4, pp. 54–59, Dec. 2019.

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