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Методы реконструкции личностного профиля на материале больших данных
С. 114–117.
The paper will present authors' experience in the reconstruction of personality profile using data science capabilities for the material of "digital traces" and open information in Internet. Classical solutions for digitization and analysis of users' behavior (neural networks, machine learning (Random Forest), clusterization), as well as a number of improved methods (heuristic logic, what-if-analysis) will be analyzed.
Бояров Е. Н., Социальная компетентность 2025 Т. 10 № 2 С. 42–51
The article addresses the problem of integrating new digital technologies into modern education to enhance its effectiveness and quality. The purpose of the study is to summarize theoretical and practical approaches to the use of digital tools in educational environments and to identify key directions and barriers to the digital transformation of education. The research ...
Added: December 9, 2025
Stepanov M., Slastnikov S., Климин Н. А., Программные системы: теория и приложения 2025 Т. 16 № 4 С. 3–21
Modern educational platforms and e-learning tools generate large volumes of data about student activities, known as the "digital footprint". Analysis of this data allows tracking student progress, identifying dropout risks, and predicting academic success. However, many educational organizations lack the IT infrastructure necessary for comprehensive collection, storage, and analysis of digital footprints. Existing solutions are ...
Added: June 11, 2025
D'yakonov A., Васильев Р. Л., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2023 Т. 514 № 2 С. 60–71
An overview of deep metric learning methods is presented. Although they have appeared in recent
years, these methods were compared only with their predecessors, with neural networks of outdated architectures used for representation learning (representations on which the metric is calculated). The described
methods were compared on different datasets from several domains, using pre-trained neural networks comparable ...
Added: March 18, 2024
Kutuzov A., Богданова А. В., Педагогическое образование и наука 2023 № 4 С. 125–130
The purpose of the review is to analyze the state of research on the use of the digital footprint of students to determine the formation degree of their competencies. In accordance with the parameters defined in the PRISMA declaration, the review uses the methodology of bibliographic research to study the WoS, Scopus and RSCI databases. ...
Added: February 10, 2024
Vartanov S., Век информации 2018 Т. 1 № 2 С. 211–213
The current work contains a review of Big Data collection and analysis methods used in modern media industry, as well as their usage examples. When speaking about digital media environment the main examples of Big Data are return-path data collected from digital TV set-top boxes and the so called digital footprints of internet users. Both ...
Added: January 31, 2024
Gabdrakhmanov N., Орлова В. В., Александрова Ю. К., Университетское управление: практика и анализ 2021 Т. 25 № 3 С. 6–13
This research article aims at evaluating the results of the school graduates’ educational strategy transformation
with the help of digital footprint data. The analysis of official and unofficial Internet communities of universities in
the social network «VKontakte» shows that their active users are school graduates, who thus receive the necessary
information about the university. The method presented can ...
Added: December 20, 2021
Gabdrakhmanov N., В кн.: Международный демографический форум: материалы заседания.: Воронеж: Цифровая полиграфия, 2020. С. 792–797.
Added: November 1, 2021
Khusyainov T., Цифровой ученый: лаборатория философа 2021 Т. 4 № 2 С. 52–72
This work considers the use of digital traces in the educational environment and the specifics of their collection and analysis at the university. One way or another, all participants in the educational process, as well as those who can potentially become them, for example, applicants, leave digital traces in the digital environments of the university ...
Added: October 19, 2021
Gabdrakhmanov N., Орлова В. В., Александрова Ю. К., Вестник Томского государственного университета 2021 Т. 467 С. 106–114
Анализируется образовательная и трудовая миграция 400 тысяч выпускников российских вузов из восьми университетов на основе данных цифровых следов. Выделяются несколько типов последовательного миграционного поведения от школы до университета и далее на рынке труда. На примере нескольких вузов показываются различия в миграционном поведении студентов. ...
Added: October 12, 2021
Lezina T., Хорошева Т. А., Коростелева А. В., PROНЕФТЬ. Профессионально о нефти 2021 Т. 6 № 2 С. 91–98
Large companies can use the analysis of employees’ digital trace data to increase the efficiency and objectivity of business processes of assessment of employee competencies. New technologies allow to accumulate data on the activities of employees related to their work performance in the information systems of companies. The results of employees training, protocols of their ...
Added: July 17, 2021
Dmitry Ivanov, Alexander Nesterov, , in: EC '19 Proceedings of the 2019 ACM Conference on Economics and Computation.: Association for Computing Machinery (ACM), 2019. P. 69–70.
We propose a novel machine-learning-based approach to detect bid leakage in first-price sealed-bid auctions. We extract and analyze the data on more than 1.4 million Russian procurement auctions between 2014 and 2018. As bid leakage in each particular auction is tacit, the direct classification is impossible. Instead, we reduce the problem of bid leakage detection ...
Added: November 11, 2020
Gabdrakhmanov N., Мягков М. Г., Гойко В. Л. et al., Мониторинг экономики образования 2020 № 7 С. 1–5
В аналитическом материале рассматривается цифровой след студентов вузов в социальной сети «ВКонтакте» в условиях перехода на дистанционную форму обучения. Определены основные тематики сообщений и проблемы, с которыми они столкнулись в этот период. Проведен анализ динамики коммуникационной активности студентов в интернет-сообществах вузов до и после перехода университетов на удаленный формат. Исследование основано на данных мониторинга неофициальных университетских ...
Added: October 30, 2020
Zaichenko N. A., Zaichenko L., Рубашкин Д. Д., Education and Self Development 2020 Vol. 15 No. 3 P. 130–144
The need for research into the transformation of relationships between primary school stakeholders
is caused by the acceleration of social and technological processes in which all agents are involved.
Digital platforms functioning in unified information systems become cross-functional where they
support managerial and pedagogical innovative solutions. The authors regard digitization as a new
space for the poly-subjective relationships within ...
Added: October 21, 2020
Zaichenko N. A., Zaichenko L., Рубашкин Д. Д., В кн.: Перспективы и приоритеты педагогического образования в эпоху трансформаций, выбора и вызовов: VI Виртуальный Международный форум по педагогическому образованию: сборник научных трудовТ. 2.: Каз.: Издательство Казанского университета, 2020. С. 278–289.
This article contains a description of the methodology and the first results of a study conducted with the support of the Russian Foundation for Basic Research (2020–2022). The aim of the interdisciplinary project is to analyze the problems of managing educational relations during the period of digital transformation. The focus of this article is the ...
Added: September 11, 2020
Zaichenko N. A., Zaichenko L., Рубашкин Д. Д. et al., Каз.: Издательство Казанского университета, 2020.
This article contains a description of the methodology and the first results of a study conducted with the support of the Russian Foundation for Basic Research (2020–2022). The aim of the interdisciplinary project is to analyze the problems of managing educational relations during the period of digital transformation. The focus of this article is the ...
Added: September 11, 2020
Hushchyn M., Chekalina V., , in: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Frontier Detectors for Frontier Physics: 14th Pisa Meeting on Advanced Detectors.: Elsevier, 2019. P. 568–569.
One of the most challenging data analysis tasks of modern High Energy Physics experiments is the identification of particles. In this proceedings we review the new approaches used for particle identification at the LHCb experiment. Machine-Learning based techniques are used to identify the species of charged and neutral particles using several observables obtained by the ...
Added: February 19, 2020
Association for Computing Machinery (ACM), 2018.
Added: December 27, 2019
Association for Computing Machinery (ACM), 2019.
The papers in these Proceedings were presented at the 20th ACM Conference on Economics and Computation (EC'19), held between June 24 and 28, 2019, as part of the 2019 ACM Federated Computing Research Conference in Phoenix, Arizona, USA. Since 1999 the ACM Special Interest Group on Electronic Commerce (SIGecom) has sponsored EC, the leading scientific ...
Added: December 12, 2019
Cham: Springer, 2019.
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data ...
Added: October 17, 2019
M. Borisyak, N. Kazeev, Journal of Instrumentation 2019 Vol. 14 No. 08 P. 1–8
Data analysis in high energy physics often deals with data samples consisting of a mixture of signal and background events. The sPlot technique is a common method to subtract the contribution of the background by assigning weights to events. Part of the weights are by design negative. Negative weights lead to the divergence of some ...
Added: August 20, 2019