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Triclustering in Big Data Setting
P. 239–258.
In this paper, we describe versions of triclustering algorithms adapted for efficient calculations in distributed environments with MapReduce model or parallelisation mechanism provided by modern programming languages. OAC-family of triclustering algorithms shows good parallelisation capabilities due to the independent processing of triples of a triadic formal context. We provide time and space complexity of the algorithms and justify their relevance. We also compare performance gain from using a distributed system and scalability.
Мулина А. А., В кн.: Балканские войны 1912–1913 гг.: далекие предпосылки и долгое эхо.: М.: Институт славяноведения РАН, 2024. С. 287–297.
В данной статье рассматривается вопрос отражения событий 1912–1913 гг. в национальных СМИ Сербии в 2012–2013 и 2022–2023 гг. Опираясь на «большие данные», полученные из сервиса Google, а также на материалы качественной газеты «Политика», автор анализирует особенности освещения эпизодов Балканских войн, а также запросы пользователей интернета на территории Сербии по темам, связанным с событиями 1912–1913 гг. ...
Added: April 21, 2026
Мулина А. А., Якова Т. С., Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика 2025 Т. 30 № 1 С. 161–171
The article presents the results of a study of the information space of the Balkan states conducted during the presidential elections in Turkey (2023): the authors referred to this period as one of the most striking political events in the country over the past five years. The purpose of the proposed work is to identify ...
Added: April 21, 2026
Balayan A. A., Томин Л. В., Публичная политика 2023 Т. 7 № 1-2 С. 108–117
The paper is devoted to the study of certain aspects of the digitalization of public administration in autocracies, primarily government platforms and digital services. The analysis of the political effects of government platforms and services is carried out in the broader context of the study of new cybernetic mode of governance that complement/transform the disciplinary ...
Added: March 31, 2026
Smirnov A., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 1 С. 129–153
The article considers a theoretical model of digital society based on four concepts: super-connectivity, platformisation, datafication, and algorithmic governance. The model describes how the digitalisation of society deepens: from the transfer of individual practices and social interactions to a new social order based on big data. Analysis of panel data from the 2003–2018 longitudinal survey ...
Added: March 18, 2026
Smirnov A., Экономика региона 2022 Т. 18 № 1 С. 133–145
The nature and intensity of migration processes are constantly changing. Demographic statistics are not suitable for obtaining up-to-date information and making timely decisions in the field of demographic and social policy. Thus, digital demography is becoming increasingly important, as this area of population research uses new methods and data sources resulting from the Internet expansion ...
Added: March 18, 2026
Kazakov S., Cuesta-Valiño P., Butkovskaya V. et al., Cuadernos de Gestion 2025 Vol. 25 No. 1 P. 71–88
This study provides an in-depth examination of often-overlooked hotel service micro-elements within the broader spectrum of hospitality services, with the aim of improving service delivery and enhancing guest satisfaction. To achieve this, we develop a methodological framework that integrates: (a) VADER text-based sentiment analysis, (b) a robust logistic regression procedure to identify the specific hotel ...
Added: February 28, 2026
Kharlamov A. A., Pilgun M., , in: Special Issue Sensing Technology for Smart Cities: Data, Analytics, and VisualizationsVol. 24. Issue 15.: [б.и.], 2024.
The analysis of large volumes of data collected from heterogeneous sources is increasingly important for the development of megacities, the advancement of smart city technologies, and ensuring a high quality of life for citizens. This study aimed to develop algorithms for analyzing and interpreting social media data to assess citizens’ opinions in real time and ...
Added: February 22, 2026
[б.и.], 2024.
Nowadays a huge portion of population lives in urban areas, and projections indicate that most cities are going to be confronted with a growing urban population in the next few years. This undoubtably poses new challenges that must be addressed by city councils and stakeholders to guarantee citizens’ high quality of life. Mobility, pollution, climate ...
Added: February 15, 2026
Barchukov, V., Relacoes Internacionais no Mundo Atual 2024 Vol. 4 No. 46 P. 113–132
Objective: Despite the opportunities that are opening up due to the development of information support systems and artificial intelligence in law enforcement, unfortunately, the Russian Federation has not yet fully formed a scientifically based legal and organizational framework for their integrated and practical application in activities of law enforcement agencies. The article aims to assess ...
Added: January 20, 2026
Demekhina A., Milshina Y., , in: Artificial Intelligence Enabled Real Time Environmental Monitoring.: Springer, 2026. P. 253–281.
Added: January 13, 2026
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
Junyu B., Fei H., Huilin F. et al., International Journal of Approximate Reasoning 2025 Vol. 187 Article 109541
In Formal Concept Analysis (FCA), concept reduction serves as an important means of simplification. The application scenarios of concept reduction cover various aspects such as data mining, knowledge discovery, strategic decision-making, and rule learning. For symmetric formal contexts, a specialized class of concept reduction exists that can fully recover all knowledge. However, most existing concept ...
Added: December 1, 2025
Akaev A., Ильин И. В., Korotayev A., Вестник Российской академии наук 2025 № 9 С. 3–15
The article examines the likelihood of creating artificial intelligence (AI) at the human level (“human intelligence level”, AGI) by 2027-2029 and the onset of the era of technological singularity, when a fundamental change in the mechanism of human evolution will occur. It is noted that this probability is close to one, since these dates surprisingly ...
Added: October 28, 2025
Лескина Э. И., Panarina M., Закон 2025 № 9 С. 91–100
The article studies the matter of finding the optimal legal regime for different categories of data. Legal problems related to the turnover of big data arise due to the lack of a unified legal framework for regulating the turnover of big data, a variety of data sources and ways to use them. Based on the ...
Added: October 1, 2025
Krayushkin D. V., Казначеев П. А., Строганова С. М. et al., Геофизические процессы и биосфера 2025 Т. 24 № 3
During laboratory studies of many rock samples, it becomes necessary to develop an appropriate database. Adding new records and maintaining such databases is especially important when creating and updating mathematical and physical models describing hydrocarbon and ore deposits, gas storage facilities, engineering (in particular, transport, hydraulic, pipeline, etc.) structures, the development and operation of which ...
Added: September 21, 2025
Switzerland: Springer, 2025.
This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the “black box” of decision-making automation in ...
Added: August 27, 2025
Krayushkin D. V., Казначеев П. А., Белобородов Д. Е. et al., Горный информационно-аналитический бюллетень (научно-технический журнал) 2025 № 4 С. 152–169
Lab-scale rock testing includes processing of a huge variety of information. The increase in the number of tests, measured properties and other related information requires advanced approaches to such data processing and storage in the context of both data model architecture and modern tools of data base control. This study focuses on the current situation ...
Added: May 5, 2025
Dudyrev E., Mariia Zueva, Kuznetsov S. et al., , in: FCA4AI 2024: The 12th International Workshop "What can FCA do for Artificial Intelligence?", October 19 2024, Santiago de Compostela, SpainVol. 3911.: CEUR Workshop Proceedings, 2024. P. 47–58.
Clustering aims at finding disjoint groups of similar objects in data and is one major task in Machine Learning. It is also gaining more attention in Formal Concept Analysis community in these last years. This paper proposes an original approach to the clustering of complex data based on Formal Concept Analysis (FCA) and Pattern Structures. ...
Added: April 30, 2025
CEUR Workshop Proceedings, 2024.
The eleven preceding editions of the FCA4AI Workshop showed that many researchers working in Articial Intelligence are deeply interested in a well-founded method for classication and data mining such as Formal Concept Analysis (see https://upriss.github.io/fca/fca.html).
The FCA4AI Workshop Series started with ECAI 2012 (Montpellier) and the last edition was co-located with IJCAI 2023 (Macao, China). The ...
Added: April 29, 2025
Pshichenko D., International Journal of Humanities and Natural Sciences 2024 Vol. 8-3(95) P. 180–185
This study explores the application of artificial intelligence (AI) and machine learning (ML) models for big data analysis in project management. By leveraging specific ML algorithms such as decision trees, random forests, support vector machines, neural networks, kmeans clustering, gradient boosting, and natural language processing, project management practices are significantly enhanced. These technologies improve decision-making, ...
Added: March 10, 2025
Кузнецов И. А., Бобунов А. Ю., Бушуев С. А. et al., Конкурентоспособность в глобальном мире: экономика, наука, технологии 2024 № 9 С. 56–61
he article explores modern technologies employed in content recommendation systems (CRS) using Big Data. It examines data processing and analysis methods that significantly enhance the personalization of recommendations to meet individual needs. The advantages associated with the integration of artificial intelligence (AI) and machine learning (ML) into Big Data processing to improve CRS efficiency are ...
Added: March 10, 2025
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Мн.: БГУИР, 2024.
The collection contains the results of scientific research and development in the field of BIG DATA
and Advanced Analytics for optimizing IT and business solutions, as well as case studies in
the field of medicine, education and ecology. ...
Added: February 18, 2025