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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 12(128) 2023

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Yakubjanova, D. K., & Murtazaeva, U.

Analysis of data mining methods in electronic education.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-12-128-30

DOI: https://dx.doi.org/10.15863/TAS.2023.12.128.30

Language: English

Citation: Yakubjanova, D. K., & Murtazaeva, U. (2023). Analysis of data mining methods in electronic education. ISJ Theoretical & Applied Science, 12 (128), 289-292. Soi: http://s-o-i.org/1.1/TAS-12-128-30 Doi: https://dx.doi.org/10.15863/TAS.2023.12.128.30

Pages: 289-292

Published: 30.12.2023

Abstract: The relevance of using data mining methods to support management in the electronic education process is substantiated in the article. The main methods of data mining within the framework of e-education are described in detail, and an overview of the main scientific works devoted to this area is presented. These methods may be useful in decision support systems at all levels of management of the educational process.

Key words: data mining, educational process, e-education, method, forecasting, analysis of educational data.


 

 

 

 

 

 

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