Open AccessApplication of intellectual data analysis methods for digital educational platform
Author(s) -
Kristina Zhatkina,
Oksana Kreider
Publication year - 2020
Publication title -
sistemnyj analiz v nauke i obrazovanii
Language(s) - English
Resource type - Journals
ISSN - 2071-9612
DOI - 10.37005/2071-9612-2020-2-1-5
Subject(s) - computer science , architecture , order (exchange) , data science , trajectory , artificial neural network , data mining , multimedia , artificial intelligence , art , physics , finance , astronomy , economics , visual arts
This article describes the possibility of using data mining techniques. In order to join new carpet participants, it is necessary to understand that the system of interaction with them is public educational services. To implement digital educational platforms, it is proposed to create an agent that collects information about sites, and also selects and tests the architecture of the neural network to build an individual trajectory that is trained using the competency-based model.