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FCA Analyst Session and Data Access Tools in FCART
P. 214–221.
Formal Concept Analysis Research Toolbox (FCART) is an integrated environment for knowledge and data engineers with a set of research tools based on Formal Concept Analysis. FCART allows a user to load structured and unstructured data (including texts with various metadata) from heterogeneous data sources into local data storage, compose scaling queries for data snapshots, and then research classical and some innovative FCA artifacts in analytic sessions.
Publication based on the results of:
In book
Vol. 8722. , Dordrecht, L., Cham, Heidelberg, NY: Springer, 2014.
Parkhomenko V., Kulikova S., Buzmakov A. V., Lobachevskii Journal of Mathematics 2026 Vol. 47 No. 6 P. 2979–2992
The stability of formal concepts and its generalization as robustness are considered in the paper. We use an approximation of stability in the form of Δ-measure for fast calculations. A computationally efficient method for calculating robustness based on subcontexts is presented. We also present a new method to analytically evaluate the number of preimages for ...
Added: October 14, 2026
Ogorodov I., Проблемы права 2026 № 3 С. 51–57
The article examines the specifics of the civil liability of the parties under a cloud services agreement for providing remote access to software functionality. The grounds, conditions and limits of liability of the cloud service provider and the customer are determined, taking into account the legal nature of the obligation arising between them, the specifics ...
Added: September 28, 2026
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
Cham: Springer, 2020.
Added: September 18, 2026
Oshmankevich K., Холодная Е. В., Магдилова Л. В. et al., В кн.: Правовое регулирование бережного и устойчивого оборота данных.: М.: ИНФРА-М, 2025. Гл. 3.5 С. 137–201.
Монография посвящена актуальным проблемам оборота данных в цифровую эпоху. Исследуется концепия "бережного" оборота данных для защиты прав человека. Анализируется влияние технологий на права, принципы "бережного" оборота, регулирование больших данных, соотношение данных и интеллектуальной слбственности, безопасность при развитии искусственного интеллекта. Особое внимание уделено персональным данным в трудовых отношениях и в здравоохранении.
Предназначена для научного сообщества, практикущих юристов, ...
Added: February 13, 2026
Aczel B., Szaszi B., Clelland H. et al., Nature 2026 Vol. 652 P. 135–142
The same dataset can be analysed in different justifiable ways to answer the same research question, potentially challenging the robustness of empirical science. ...
Added: January 27, 2026
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
Springer Publishing Company, 2025.
The three-volume set LNCS 14476-14478 constitutes the post conference proceedings of the 4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023, held in Pizzo Calabro, Italy, during June 14–20, 2023.
The 45 full papers presented in this book together with 60 short papers were carefully reviewed and selected from 170 submissions.
The papers focus on ...
Added: November 23, 2025
М.: МАКС Пресс, 2024.
The book contains theses of talks approved by the Program Committee of the Nineteenth Conference “Free Software in Higher Education”. ...
Added: October 25, 2025
М.: МАКС Пресс, 2025.
The book contains conference proceedings approved by the Program Committee of the Twentieth Conference ‘Free Software in Higher Education’. ...
Added: October 24, 2025
Dvoinin A., Информация и образование: границы коммуникаций 2025 Т. 25 № 17 С. 125–127
The article discusses problems of applying statistical methods in pedagogical research: the lack of informative indicators, template types of analysis, fabrication of calculations, p-hacking and others. ...
Added: August 19, 2025
I. V. Loginova, A. S. Piekalnits, E. A. Sabidaeva et al., Scientific and Technical Information Processing 2025 Vol. 52 No. 6 P. 738–751
The purpose of this paper is to advance and automate language models for extracting statements related to events and factors from text documents using the designed linguistic marker system. The paper presents the outcomes of text-mining models of events and factors extraction approbation on the example of analytical research in human potential, social sciences and ...
Added: July 18, 2025
Kostyuk A., Tsvetkov V., Korolev P. et al., Reliability: Theory and Applications 2025 Vol. 20 No. 3(86) P. 35–53
This paper presents a methodology for predicting dependability measures of swarm structures of unmanned aerial vehicles used in agriculture. The main attention is paid to the development of mathematical models for assessing the dependability of hardware, software, and communication systems in drone swarms. Two types of UAVs are considered in the paper: DJI Phantom 4 ...
Added: June 23, 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
Maillard J. P., Mihalchenko A., Novikov D. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 109 No. 2 Article 023523
We present a signal-foreground separation algorithm for filtering observational data to extract spectral distortions of the cosmic microwave background (CMB). Our linear method, called the least response method (LRM), is based on the idea of simultaneously minimizing the response to all possible foregrounds with poorly defined spectral shapes and random noise while maintaining a constant ...
Added: April 26, 2025
Ишанхонов А. Ю., Pshichenko D., Можаровский Е. А. et al., Программные системы и вычислительные методы 2024 № 4 С. 140–150
The role of Large Language Models (LLM) in new generation integrated development environments (IDEs). Tools such as GitHub Copilot, IntelliCode and Alice Code Assistant are explored in the context of their use in programming. The authors examine how LLMs enable the automation of key development tasks, including code autocompletion, error detection, refactoring, and code generation, ...
Added: March 10, 2025
Pshichenko D., Znanstvena misel 2024 No. 96 P. 38–42
The article analyzes the application of artificial intelligence (AI) models for forecasting market volatility (MV). Examples of algorithms such as recurrent neural networks (RNN), long short-term memory (LSTM) networks, and regression methods are studied, demonstrating their effectiveness in processing time series and identifying complex data patterns. The importance of integrating machine learning (ML), as a ...
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
Mustafina N. I., Plaksin M. A., Mikisheva P. A., Proceedings of the Institute for System Programming of the RAS 2024 Vol. 36 No. 2 P. 47–58
The article discusses the issues of planning and resource management in the process of testing
software systems. The paper presents the ACC analysis method used at Google to optimize the distribution of
efforts for testing different parts of the system. Extending the method by adding a fourth characteristic - actors
(roles of system users) – allows for a ...
Added: February 17, 2025
Komashko M. N., В кн.: Право и экономика: стратегии регионального развития: сборник материалов IV Вологодского регионального форума с международным участием (Вологда, 27-28 марта 2024 г.).: Северо-Западный институт (филиал) Университета им. О.Е.Кутафина, 2024. С. 75–79.
The author notes that when discussing the problems of digital transformation of the economy and other social relations, it is necessary to take into account the protection of rights not only of information technology users, but also of software builders. However, the copyright law concept of computer software protection is currently suitable only for the ...
Added: December 29, 2024