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...
Название : Application of Data Mining and Process Mining approaches for improving e-Learning Processes
Авторы/Редакторы : Grigorova, K.
Malysheva, E.
Bobrovskiy, S.
Ключевые слова : data mining
process mining
education data mining
e-Learning
Дата публикации : 2017
Издательство : Новая техника
Библиографическое описание : Grigorova 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.
Аннотация : The 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.
URI (Унифицированный идентификатор ресурса) : http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Application-of-Data-Mining-and-Process-Mining-approaches-for-improving-eLearning-Processes-64183
Другие идентификаторы : Dspace\SGAU\20170523\64183
Располагается в коллекциях: Информационные технологии и нанотехнологии

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