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Subject
News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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International Conference on Educational Data Mining (EDM) 2011. Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, 6-8 July, 2011

Eindhoven : Eindhoven University of Technology, 2011.
Academic editor: Pechenizkiy M., Calders T., Conati C., Ventura S., Romero C., Stamper J.

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions (Pittsburgh 2010, Cordoba 2009 and Montreal 2008), and a series of workshops within the AAAI, AIED, EC-TEL, ICALT, ITS, and UM conferences. The increase of e-learning resources such as interactive learning environments, learning management systems, intelligent tutoring systems, and hypermedia systems, as well as the establishment of state databases of student test scores, has created large repositories of data that can be explored to understand how students learn. The EDM conference focuses on data mining techniques for using these data to address important educational questions.

Chapters
What can closed sets of students and their marks say?
Ignatov D. I., Romashkin N. S., Shamshurin I. et al., , in: International Conference on Educational Data Mining (EDM) 2011. Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, 6-8 July, 2011.: Eindhoven: Eindhoven University of Technology, 2011. P. 223–228.
This paper presents an application of formal concept analysis to the study of student assessment data. Formal concept analysis (FCA) is an algebraic framework for data analysis and knowledge representation that has been proven useful in a wide range of application areas such as life sciences, psychology, sociology, linguistics, information technology and computer science. We ...
Added: December 3, 2012
How university entrants are choosing their department? Mining of university admission process with FCA taxonomies
Romashkin N. S., Ignatov D. I., Gorbunova E., , in: International Conference on Educational Data Mining (EDM) 2011. Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, 6-8 July, 2011.: Eindhoven: Eindhoven University of Technology, 2011. P. 229–234.
The aim of this paper is to present a case study in the analysis of university applications to the Higher School of Economics (U-HSE), Moscow. Our approach uses lattice-based taxonomies of entrants’ decisions about undergraduate programmes. These taxonomies were built by means of Formal Concept Analysis (FCA). FCA is a well-known algebraic technique for objectattribute ...
Added: December 3, 2012
Research target: Computer Science Mathematics Sociology (including Demography and Anthropology Philology and Linguistics
Priority areas: sociology management humanitarian mathematics engineering science
Language: English
Full text
Keywords: искусственный интеллектпедагогикаинформатикаinformation retrievalgeneric frameworksmethods and approached for EDMlearner or student modelingmining assessment datamining browsing or interaction datamining the results of educational research (e.g. A/B tests)educational process miningdata-driven adaptation and personalizationimproving educational softwareevaluating teaching interventionsemotion, affect and choiceintegrating data mining and pedagogical theoryimproving teacher supportreplication studiesbest practices for adaptation of data miningopinion miningquestion answering techniques to educational contextанализ данных в образованииразработка данных в образованиикибернетиканародное образованиематематическая кибернетикавычислительная математикаRecommender Systems
International Conference on Educational Data Mining (EDM) 2011. Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, 6-8 July, 2011
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