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  • Применение методов Data Science для структурирования спроса и предложения на товары и услуги (Applying Data Science methods for structuring supply and demand of goods and services)
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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Применение методов Data Science для структурирования спроса и предложения на товары и услуги (Applying Data Science methods for structuring supply and demand of goods and services)

С. 336–346.
Zhukova L., Чугунов В. Р., Кирюшина А. А., Ковальчук И. М.

Abstract: The article describes an approach to solving the problem of structuring the supply and demand of goods and services. The proposed approach, based on the use of Data Science methods, will allow implementing modern tool for monitoring the development of industry in Moscow. Such tool helps to analyze a large number of structured, unstructured and poorly structured data from any open source. This allows to timely and accurately assess the appearance of positive and negative trends in the performance of industrial enterprises in Moscow.

Language: Russian
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Keywords: кластерный анализData Scienceспрос и предложениеsupply and demandclustering analysis industrial goods and servicesпромышленные товары и услуги

In book

Actual Problems of System and Software Engineering. Proceedings of the 6th International Conference Actual Problems of System and Software Engineering. Moscow, Russia, 12-14 November, 2019
Vol. 2514. , CEUR Workshop Proceedings, 2019.
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