| Поле DC | Значение | Язык |
|---|
| dc.contributor.author | Samandarov, Е. К. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-05-02T07:22:16Z | - |
| dc.date.available | 2025-05-02T07:22:16Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Samandarov, Е. К. Issues and modern methods of intellectual data analysis in education / Е. К. Samandarov // Big Data и анализ высокого уровня = Big Data and Advanced Analytics : сборник научных статей XI Международной научно-практической конференции, Республика Беларусь, Минск, 23–24 апреля 2025 года / Белорусский государственный университет информатики и радиоэлектроники [и др.] ; редкол.: В. А. Богуш [и др.]. – Минск, 2025. – С. 11–13. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/59667 | - |
| dc.description.abstract | Currently, intelligent data analysis is used in many fields. Many methods are used in the intellectual
analysis of data. In this article, the intellectual analysis of data in the educational system is considered. Educational
data mining combines many methods of data analysis in education sphere. In addition, in this paper the most methods
of data analysis are considered. The application of each method in the field of education is considered as well as in
the field of education, data is intellectually analyzed and the results are analyzed. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | educational data mining | en_US |
| dc.title | Issues and modern methods of intellectual data analysis in education | en_US |
| dc.type | Article | en_US |
| Располагается в коллекциях: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник научных статей (2025)
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