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BIG DATA ANALYSIS METHODOLOGY FOR MANAGEMENT TASKS IN REMOTE HIGHER EDUCATION SYSTEMS

Belyakova Anna Vyacheslavovna  (Postgraduate student, Moscow City University (MCU), Moscow, Russia )

Romashkova Oxana Nikolaevna  (Doctor of Engineering, Professor, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia )

The article is devoted to the study of processing and analysis of big data for control tasks in remote sources of higher education. The methodology of data processing and analysis is described, which includes removing the curse of data dimensionality, setting an analysis goal, applying a machine learning algorithm and evaluating efficiency.

Keywords:educational organization, data processing, data analysis, big data.

 

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Citation link:
Belyakova A. V., Romashkova O. N. BIG DATA ANALYSIS METHODOLOGY FOR MANAGEMENT TASKS IN REMOTE HIGHER EDUCATION SYSTEMS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№02/2. -С. 61-66 DOI 10.37882/2223–2966.2023.02–2.07
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