A.V. Iatsyshyn, Yu. G. Kutsan, V.O. Artemchuk, I.P. Kameneva, O.O. Popov, V.O. Kovach
Èlektron. model. 2019, 41(4):85-101
ABSTRACT
The problem of environmental safety management is considered in the context of reducing negativeThe problem of environmental safety management is considered in the context of reducing negativeenvironmental impacts. A generalized structural model of ecological safety managementprocess is proposed, which is based on the methods and technologies of the intellectual analysisof monitoring data. The possibilities of adaptation and improvement of some of the mostwell-known algorithms for data mining: C4.5, K-means, SVM, kNN, naive Bayes classifier,Apriori algorithm for data analysis of atmospheric air monitoring network data were explored.Examples of practical use of separate methods for the detection of dangerous situations are given.
KEYWORDS
ecological safety, security management, intelligence analysis, monitoring data,ecological safety, security management, intelligence analysis, monitoring data,atmospheric air.
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https://doi.org/10.15407/emodel.38.02.049
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https://doi.org/10.15407/emodel.39.06.107
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https://doi.org/10.1007/978-3-642-32180-1_1
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https://doi.org/10.1007/s11356-013-2277-6
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https://doi.org/10.1890/ES13-00359.1
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https://doi.org/10.1007/s10559-013-9539-7
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17. Artemchuk, V.O. and Yatsyshyn, A.V. (2018), “Intelligent analysis of data in the system of monitoring of atmospheric air”, Modelyuvannya ta Informatsiyni tehnologiyi, Vol. 82, pp. 48-52.
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