USING CLUSTER ANALYSIS METHODS TO CLASSIFY USERS OF THE EDUCATIONAL SPACE


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Authors

  • Vusala Xudashirin MURADOVA Lankaran State University

DOI:

https://doi.org/10.5281/zenodo.16595406

Keywords:

methods of cluster analysis, educational space, client server architecture, method of sequential acquisition`

Abstract

Preliminary analysis allows, at the early stages of developing an educational space model, to determine the feasibility of designing information technology (including in the Client Server architecture) or distributed databases based on an analysis of the commonality of the educational space of a given set of users. The current article aims to the proposed method of community analysis is based on the assessment of the similarity function of users of the educational space.

References

Muradova V. Kh. Influence factors of decision-making systems on enterprise management PDMU-2022 xxxvii internationallconference problems of decision making under uncertainties november 23-25, 2022 Sheki-Lankaran, Republic of Azerbaijan November 23-25, 2022 P. 85 http://pdmu.univ.kiev.ua/PDMU_2022/PDMU_2022_Sheki.pdf

Murad Omarov, Vusala Muradova BAYESIAN REGULARIZATION OF LEARNING Journal of Natural Sciences and Technologies ISBN:978-605- 73552-2-5 ICONAT-2022, Antalya, Turkey, 24-25 August, P. 80 https://journalofnastech.com/index.php/pub/issue/view/1

Мурадова В.Х., Формалізовані моделі освітнього простору інформаційних вимог користувачів у системах дистанційного навчання 29-й Міжнародний молодіжний форум «Радіоелектроніка і молодь у ХХІ столітті». Зб. матеріалів форуму. Т. 7. Харків: ХНУРЕ. 2025. 291-293 c. УДК 004:37.018.43]:37.014.6

Published

2025-07-30

How to Cite

MURADOVA, V. X. (2025). USING CLUSTER ANALYSIS METHODS TO CLASSIFY USERS OF THE EDUCATIONAL SPACE. Journal of Natural Sciences and Technologies, 4(1), 396–399. https://doi.org/10.5281/zenodo.16595406