Отрывок: KT corresponds to the method of Bayesian network. Nonnegative Matrix Factorization (NMF) is a technique that involves a clear interpretation in terms of Q-matrix, also referred to as transfer model [41]. There are many NMF algorithm, and they can give different solutions. NMF uses an array of positive numbers is the product of two smaller matrices. For example, when a learning process is considered, the matrix may rep...
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dc.contributor.authorGrigorova, K.-
dc.contributor.authorMalysheva, E.-
dc.contributor.authorBobrovskiy, S.-
dc.date.accessioned2017-05-25 14:10:57-
dc.date.available2017-05-25 14:10:57-
dc.date.issued2017-
dc.identifierDspace\SGAU\20170523\64183ru
dc.identifier.citationGrigorova K. Application of Data Mining and Process Mining approaches for improving e-Learning Processes / K. Grigorova, E. Malysheva, S. Bobrovskiy // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 1952-1958.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Application-of-Data-Mining-and-Process-Mining-approaches-for-improving-eLearning-Processes-64183-
dc.description.abstractThe paper describes the basic principles of Data mining and Process mining methods, their similarities and differences. Some examples of special software for Data mining and Process mining are presented. The authors examine the research in Educational Data Mining field, associated with the use of Data mining techniques in education, give examples of problems to be solved with the use of Data mining and Process mining techniques in the area of traditional and e-learning, describe the possibilities and limitations of different methods. A review of major scientific conferences and journals devoted to the research in Educational Data Mining is made.ru
dc.description.sponsorshipThis work is supported by the Bulgarian National Scientific Research Fund under the contract DFNI - I02/13.ru
dc.language.isoenru
dc.publisherНовая техникаru
dc.subjectdata miningru
dc.subjectprocess miningru
dc.subjecteducation data miningru
dc.subjecte-Learningru
dc.titleApplication of Data Mining and Process Mining approaches for improving e-Learning Processesru
dc.typeArticleru
dc.textpartKT corresponds to the method of Bayesian network. Nonnegative Matrix Factorization (NMF) is a technique that involves a clear interpretation in terms of Q-matrix, also referred to as transfer model [41]. There are many NMF algorithm, and they can give different solutions. NMF uses an array of positive numbers is the product of two smaller matrices. For example, when a learning process is considered, the matrix may rep...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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