| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Agayev , F.T. / F.T. Agayev , G.A. Mamadova , L. Zeynalova , R. Malikova et al. // The17th IEEE International Conference on Application of Information and Communication Technologies (AICT). - Baku, 2023. - P. 1-4. | |
| Annotasiya | |
| Currently, social networks are confidently integrated into the lives of modern people. These networks are a rich source of data. In the context of a large amount of information presented here, the task of intellectual analysis of the content of a social network arises. This article highlights the possibility of using social media information for educational purposes, as well as reviewing relevant research in the field of applying Data Mining methods for intellectual analysis of educational data. The article also shows the possibility of using data clustering methods using k-means to identify the content of educational materials distributed by students in a social network. This data can be used by the teachers of the educational institution to improve educational content and improve its quality. | |
| Elektron variant | |
| Elektron variant |
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