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dc.date2018
dc.date.accessioned2025-08-22T12:18:00Z-
dc.date.available2025-08-22T12:18:00Z-
dc.date.issued2018
dc.identifier.identifierDspace\SGAU\20180518\69522
dc.identifier.citationTimina I.A. Application of the anomaly pattern in forecasting time series of project activity metrics/I.A.Timina, E.N.Egov , A.A. Romanov// Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С. 1794-1799
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/13658-
dc.description.abstractThis article describes the method of application of an anomaly template of time series of project metrics based on entropy. The analysis of project activity metrics is described. The forecasting algorithm based on the fuzzy trends of time series of indicators was developed and implemented. The formula for the entropy measure for the fuzzy time series is determined. The algorithm uses the dependence of the forecast on the measures of entropy. The hypothesis of trend stability is used for forecasting. Experiments based on this approach are presented.
dc.description.sponsorshipThe article was supported by the Russian Foundation for Basic Research (grant No. 16-47-732070).
dc.languageen
dc.publisherНовая техника
dc.relation.ispartofseries3;241
dc.titleApplication of the anomaly pattern in forecasting time series of project activity metrics
dc.typeArticle
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Application-of-the-anomaly-pattern-in-forecasting-time-series-of-project-activity-metrics-69522
local.identifier.oldurihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Application-of-the-anomaly-pattern-in-forecasting-time-series-of-project-activity-metrics-69522
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