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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
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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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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