ЗАСТОСУВАННЯ МЕТОДІВ DATA MINING В ТЕЛЕКОМУНІКАЦІЙНИХ СИСТЕМАХ
Ключові слова:
Data Mining, телекомунікаційна система, аналіз данихАнотація
Application of Data Mining Methods in Telecommunication Systems
Currently, there is an intensive development of telecommunication systems, accompanied by tough competition for the client. Data analysis aimed at identifying hidden patterns is implemented using the methods of modern information technology Data Mining.
Посилання
Dr. Mehmet Ulema. (Professor of Computer Information Systems Manhattan College, Riverdale New York, USA) “Big Data and Telecommunications” [Electronic resource], 4th International Black Sea Conference on Communications and Networking, 2016.
Technologies of data analysis: DataMining, VisualMining, TextMining, OLAP training. allowance. 2 nd ed. / A. A. Barsegyan, M. S. Kupriyanov, V. V. Stepanenko, I. I. Kholod. SPb .: 2007. 59 p.
Educational-methodical complex on the discipline "Information Technologies" of the Institute of Economics and Management [Electronic resource]. URL: http://www.sergeeva-i.narod.ru/inform/page11.htm.
Chubukova I.A. Course DataMining [Electronic resource]. URL: http://www.intuit.ru/department / database / datamining /
Ильченко М.Е. Электродинамика диэлектрических резонаторов / М.Е. Ильченко, А.А. Трубин. - К.: Наук. думка, 2004. — 264 с.
On the solution of the problem of the optimal choice of feeding parameters of a linear induction machine by a genetic algorithm with local search / S.S. Bezhitsky, E.A. Golovenko, V.A. Goremykin, M.V. Pervukhin // Bulletin of Siberian State University of Automation. 2010. Issue. 4. C. 23-27.
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