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Новые методы анализа паттернов на примере набора данных "Balance Scale Data Set"
С. 134–142.
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
Malekova D. K., Veselitskaya N., Shashnov S. A., Форсайт 2026 Т. 20 № 3 С. 6–24
Technological development dynamics underscore the relevance of a comparative analysis of national priorities in science and innovation. This article identifies and typologizes promising technologies enshrined in the development strategies of 19 countries: the technological leaders—the United States, Japan, Germany, the United Kingdom, South Korea, Canada, Australia, Spain, and Italy—and the countries of the Global South—Brazil, ...
Added: September 18, 2026
Kozlov N., Semenova M., Journal of Corporate Finance Research 2026 Vol. 20 No. 2 P. 108–135
This paper introduces a novel approach to identifying and operationalizing political connections of banks. We manually code 2,598 bankers who owned or worked in 115 Russian banks between 2015 and 2021 to classify political connections and uncover their institutional patterns through cluster analysis. We propose a set of variables that capture the origins, relevance, and ...
Added: July 6, 2026
Aleskerov F. T., Khutorskaya O., Stepochkina A. et al., Springer, 2026.
The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations ...
Added: May 15, 2026
Porosenkov G., Цепелевич М. М., Кизяков Д. А. et al., Информатика и образование 2025 Т. 40 № 2 С. 57–65
Research on learner engagement in massive open online courses (MOOCs) has predominantly focused on those developed by educational and non-profit organizations. However, the significance of MOOCs offered by IT service providers (vendors), particularly in the field of cloud computing, has gained prominence in recent years. These vendor-led courses facilitate interaction between learners and vendors, underscoring the ...
Added: January 18, 2026
Dávila Bolliger R., Brandão Fischer B., Ferreira de Faria A. et al., The Journal of Technology Transfer 2025 Vol. 50 P. 1461–1490
Science and Technology Parks (STPs) have become popular instruments among policymakers worldwide. Yet, empirical studies have questioned the effectiveness of STPs in generating the desired impacts on tenant companies and in regional development. Recent literature attributes these conditions to a lack of focus on the inherent heterogeneity of STPs and their respective tenants. This research ...
Added: November 12, 2025
Сурова К. В., Aleskerov F. T., Solodkov V. M. et al., Журнал Новой экономической ассоциации 2025 № 1(66) С. 76–96
В работе предлагается метод анализа данных в применении к исследо- ванию моделей поведения банков России в период до и во время пандемии коронавирус- ной инфекции. Исследование включает в себя источники данных с временными рядами показателей по модели CAMEL в период 2017–2021 гг. Система CAMEL является наибо- лее авторитетной и используется регуляторами для оценки и управления ...
Added: November 11, 2025
Alexey Myachin, Studies in Systems, Decision and Control 2025 Vol. 615 P. 12–20
In this paper, we introduce a refined and rigorous methodological framework for the validation and quality assessment of pattern analysis outcomes. Our approach synergistically integrates a formal algorithmic model with novel conceptual constructs - specifically, the notions of the empty pattern and pattern complexity. A comprehensive array of metric approaches is employed to evaluate pattern analysis ...
Added: November 5, 2025
Gabdukaev E., Naidenova I. N., Parshakov P., Общество и экономика 2025 № 10 С. 39–55
This study presents a systematic analysis of 7,566 articles from international peer-reviewed journals on transport infrastructure and economic development. Using machine-learning and cluster-analysis techniques, it identifies the field’s key research directions. The results reveal four dominant thematic clusters: sustainable transport, digitalisation, regional corridors and decarbonisation. Topic-trend analysis shows a rapid surge of interest in the ...
Added: October 10, 2025
Бураков Н. А., Якобсон Л. И., Вопросы экономики 2025 № 9 С. 27–42
The paper justifies the need to address sustainable characteristics of both individual and collective participants in the processes economic development strategic planning (EDSP), while extant research mostly focuses on structural and organizational issues. Our study shows the relevance of applying the concept of strategic culture with regard to EDSP, although currently it is used by ...
Added: September 11, 2025
Alexey Myachin, Procedia Computer Science 2025 Vol. 266 P. 1330–1335
An agglomerative pattern analysis algorithm is presented that groups objects using ordinal-invariant pattern clustering, with the goal of maximizing the coefficient of determination. Key stages are described: constructing initial pattern pattern by grouping objects according to permutations of feature values; computing centroids and variances; and defining a merge criterion based on the maximal increase in ...
Added: August 18, 2025
Boboshko D., Treistar D., Kulapova A., Lecture Notes in Networks and Systems 2024 No. 1092
The article presents the results of a study of the conceptual apparatus used in describing the processes of formation and functioning of banking ecosystems. Advanced search filters were applied to select the most relevant scientific literature, which made it possible to objectively narrow and clarify the scope of bibliometric research. The content of more than ...
Added: May 26, 2025
Терещенко Д. С., Левкин Н. В., Псковский регионологический журнал 2025 Т. 21 № 1 С. 22–40
The article is devoted to the study of the publication activity of universities in the regions of the Russian Federation. The study is based on data from the OpenAlex project, which provides open and free access to information on scientific publications. The analysis used the principal component method and k-means clustering. As a result, three ...
Added: April 3, 2025
Aleskerov F. T., Myachin A. L., Yakuba V. I., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2024 Т. 520 № 1 С. 29–34
Предлагается новый метод быстрого поиска закономерностей в числовых данных большой раз-мерности, названный “туннельной кластеризацией”. Основными преимуществами нового методаявляются: относительно невысокая вычислительная сложность; эндогенное определение составаи количества кластеров; высокая степень интерпретируемости конечных результатов. Приведеноописание трех различных вариаций: с фиксированными гиперпараметрами, адаптивными, а так-же комбинированный подход. Рассмотрены три основных свойства туннельной кластеризации.Практическое применение приведено как на синтетических ...
Added: March 3, 2025
F. T. Aleskerov, A. L. Myachin, V. I. Yakuba, Doklady Mathematics 2024 Vol. 110 No. 3 P. 474–479
We propose a novel method for rapid pattern analysis of high-dimensional numerical data, termed tunnel clustering. The main advantages of the method are its relatively low computational complexity, endogenous determination of cluster composition and number, and a high degree of interpretability of final results. We present descriptions of three different variations: one with fixed hyperparameters, ...
Added: March 3, 2025