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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52495
Title: The Method of Cliodinamik Monitoring
Authors: Golub, Sergiy
Khymytsia, Nataliia
Affiliation: Cherkasy National University named after Bohdan Khmelnytsky
Lviv Polytechnic National University
Bibliographic description (Ukraine): Golub S. The Method of Cliodinamik Monitoring / Sergiy Golub, Nataliia Khymytsia // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 223–226. — (Dynamic Data Mining & Data Stream Mining).
Bibliographic description (International): Golub S. The Method of Cliodinamik Monitoring / Sergiy Golub, Nataliia Khymytsia // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 223–226. — (Dynamic Data Mining & Data Stream Mining).
Is part of: Data stream mining and processing : proceedings of the IEEE second international conference, 2018
Conference/Event: IEEE second international conference "Data stream mining and processing"
Issue Date: 28-Feb-2018
Publisher: Lviv Politechnic Publishing House
Place of the edition/event: Львів
Temporal Coverage: 21-25 August 2018, Lviv
Keywords: history
monitoring information systems
modeling
historical processes
сliodinamik studies
Number of pages: 4
Page range: 223-226
Start page: 223
End page: 226
Abstract: This article describes the process of using information technology of multi-level monitoring in the research of the similarity of historical periods. The results of inductive modeling are used to explain historical processes. The methods of clusterization and expert evaluation of the obtained results are combined. The results of experimental research of revealing similar periods of the history of Ukraine are presented.
URI: https://ena.lpnu.ua/handle/ntb/52495
ISBN: © Національний університет „Львівська політехніка“, 2018
© Національний університет „Львівська політехніка“, 2018
Copyright owner: © Національний університет “Львівська політехніка”, 2018
References (Ukraine): [1] S. Golub, Multi-level modeling in environmental monitoring technologies. Cherkasy, Ed. from. Bohdan Khmelnytsky National University of Chernivtsi, 2007.
[2] S. V. Golub, and I. V. Burley, “Multilayer data transformation in information systems of multi-level monitoring of fire safety,” Collection of scientific works of Kharkiv University of Air Forces, Kharkiv University of Air Force named after Ivan Kozhedub, iss. 1 (38), pp. 246-251, 2014.
[3] S. V. Golub, V. N. Rudnitsky, V. Yu. Dendarenko, and S. V. Pivneva,“Formation of the structure of the global function in information systems of multi-level monitoring of fire safety,” The Science Vector of the Togliatti State University, no. 4 (22), p. 41-45, 2012.
[4] A. G. Ivakhnenko, Inductive method of self-organization of models of complex systems. K: Naukova Dumka, 1981.
[5] S. V. Golub, and P. O. Kolos, “Features of creation of information systems for crisis socioecological monitoring,” Systems of information processing, iss. 4 (94), pp. 273-277, 2011.
[6] S. V. Golub, and V. Yu. Nemchenko, “Adaptive formation of duplicate levels in the structure of hierarchical systems of multi-level sociohygienic monitoring,” Inductive modeling of complex systems. Collection of scientific works. Editor V.Stepashko, Kyiv, International sciences center inform technologies and systems of NAS and MES of Ukraine, iss. 1, pp. 41-48, 2011.
[7] S. V. Golub, and V. M. Dzholos,“Using of heuristic monitoring system for forecasting postinfarction complications,” Visnyk of Zhytomyr State Technological University. Engineering, no. 4 (31), pp. 109-114, 2004.
[8] S. V. Golub, N. Khymytsia, “The display of consolidated information of regional economic performance in the structure of multi-level models,” Visnyk of Volodymyr Dahl East Ukrainian National University, no 8 (179), iss. 1, pp. 122-128, 2012.
[9] S. V. Golub, and L. M. Semenenko, “Information modeling as the basis of the didactic system of training young scientists,” Problems of general and pedagogical psychology. Collection of scientific works of the Institute of Psychology named after G.S. Kostyuk APS of Ukraine, Ed. S.D. Maximenko,vol. VII, iss. 7, 2005, p. 96 -100.
[10] S. V Golub, L. M. Semenenko, “Application of heuristic observation systems as a modeling pedagogical tool,” Vesnyk Kharkiv National Automobile and Road University. Collection of scientific works, Kharkiv, KhNADU, iss.31, pp. 10-12, 2005.
[11] S. Williamson, “Cliometrics history in the United States,” (translation A. N. Polevaia), Economic History Review, Ed. V. I. Bovykin and L. I. Borodkin, vol. 1, 1996, pp. 75-107.
[12] N. Khymytsia, S. Lisina, O. Morushko, and P. Zhezhnych, “Analysis of Computer-based Methods for Processing Historical Information,” Advances in Intelligent Systems and Computing: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2017, September 5-9 Lviv, Ukraine, Shakhovska N. (Ed.), Springer International Publishing: 2017, vol. 1, pp. 365-367.
[13] I. D. Kovalchenko,“Methods of historical research”, (second edition), M: Nauka, 2003.
[14] R. W. Fogel, Railroads and American Economic Growth: Essays in Econometric History. Baltimore: Johns Hopkins Press, 1964.
[15] L. I. Borodkin, “Historical information science at the bifurcation point: the movement to Historical Information Science. Circle of ideas: algorithms and technologies of historical Informatics,” IX conference of the Association “History and Computer”, Under the editors L. I. Borodkin, V. N. Vladimirov, Moscow-Barnaul, 2005, pp.7-21.
[16] L. I. Borodkin, Modeling of historical processes: from the reconstruction of reality to the analysis of alternatives. St. Petersburg: Aleteya, 2016.
[17] S. V. Golub, and I. V. Burlay,“Swear Increasing the efficiency of clustering by the results of simulation in the information technology of operational fire monitoring,” Information Processing Systems, Kharkiv, iss. 2 (118), pp. 253-257, 2014.
References (International): [1] S. Golub, Multi-level modeling in environmental monitoring technologies. Cherkasy, Ed. from. Bohdan Khmelnytsky National University of Chernivtsi, 2007.
[2] S. V. Golub, and I. V. Burley, "Multilayer data transformation in information systems of multi-level monitoring of fire safety," Collection of scientific works of Kharkiv University of Air Forces, Kharkiv University of Air Force named after Ivan Kozhedub, iss. 1 (38), pp. 246-251, 2014.
[3] S. V. Golub, V. N. Rudnitsky, V. Yu. Dendarenko, and S. V. Pivneva,"Formation of the structure of the global function in information systems of multi-level monitoring of fire safety," The Science Vector of the Togliatti State University, no. 4 (22), p. 41-45, 2012.
[4] A. G. Ivakhnenko, Inductive method of self-organization of models of complex systems. K: Naukova Dumka, 1981.
[5] S. V. Golub, and P. O. Kolos, "Features of creation of information systems for crisis socioecological monitoring," Systems of information processing, iss. 4 (94), pp. 273-277, 2011.
[6] S. V. Golub, and V. Yu. Nemchenko, "Adaptive formation of duplicate levels in the structure of hierarchical systems of multi-level sociohygienic monitoring," Inductive modeling of complex systems. Collection of scientific works. Editor V.Stepashko, Kyiv, International sciences center inform technologies and systems of NAS and MES of Ukraine, iss. 1, pp. 41-48, 2011.
[7] S. V. Golub, and V. M. Dzholos,"Using of heuristic monitoring system for forecasting postinfarction complications," Visnyk of Zhytomyr State Technological University. Engineering, no. 4 (31), pp. 109-114, 2004.
[8] S. V. Golub, N. Khymytsia, "The display of consolidated information of regional economic performance in the structure of multi-level models," Visnyk of Volodymyr Dahl East Ukrainian National University, no 8 (179), iss. 1, pp. 122-128, 2012.
[9] S. V. Golub, and L. M. Semenenko, "Information modeling as the basis of the didactic system of training young scientists," Problems of general and pedagogical psychology. Collection of scientific works of the Institute of Psychology named after G.S. Kostyuk APS of Ukraine, Ed. S.D. Maximenko,vol. VII, iss. 7, 2005, p. 96 -100.
[10] S. V Golub, L. M. Semenenko, "Application of heuristic observation systems as a modeling pedagogical tool," Vesnyk Kharkiv National Automobile and Road University. Collection of scientific works, Kharkiv, KhNADU, iss.31, pp. 10-12, 2005.
[11] S. Williamson, "Cliometrics history in the United States," (translation A. N. Polevaia), Economic History Review, Ed. V. I. Bovykin and L. I. Borodkin, vol. 1, 1996, pp. 75-107.
[12] N. Khymytsia, S. Lisina, O. Morushko, and P. Zhezhnych, "Analysis of Computer-based Methods for Processing Historical Information," Advances in Intelligent Systems and Computing: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2017, September 5-9 Lviv, Ukraine, Shakhovska N. (Ed.), Springer International Publishing: 2017, vol. 1, pp. 365-367.
[13] I. D. Kovalchenko,"Methods of historical research", (second edition), M: Nauka, 2003.
[14] R. W. Fogel, Railroads and American Economic Growth: Essays in Econometric History. Baltimore: Johns Hopkins Press, 1964.
[15] L. I. Borodkin, "Historical information science at the bifurcation point: the movement to Historical Information Science. Circle of ideas: algorithms and technologies of historical Informatics," IX conference of the Association "History and Computer", Under the editors L. I. Borodkin, V. N. Vladimirov, Moscow-Barnaul, 2005, pp.7-21.
[16] L. I. Borodkin, Modeling of historical processes: from the reconstruction of reality to the analysis of alternatives. St. Petersburg: Aleteya, 2016.
[17] S. V. Golub, and I. V. Burlay,"Swear Increasing the efficiency of clustering by the results of simulation in the information technology of operational fire monitoring," Information Processing Systems, Kharkiv, iss. 2 (118), pp. 253-257, 2014.
Content type: Conference Abstract
Appears in Collections:Data stream mining and processing : proceedings of the IEEE second international conference

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