• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Articles
  • Pattern Analysis Based on Interval Estimates: Ordinal-Interval Pattern Clustering
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Pattern Analysis Based on Interval Estimates: Ordinal-Interval Pattern Clustering

Procedia Computer Science. 2024. Vol. 242. P. 95–99.
Alexey Myachin

A new method for searching patterns in data using interval estimates is proposed. The computational complexity, algorithmic implementation, and some properties that allow the method to be applied to high-dimensional data are described, including the characteristics of ordering the studied indicators in groups obtained from the analysis, the unambiguous definition of such groups, and their lack of intersections. The possibility of using a generalization of Borda's rule for interval estimates in pairwise comparison of interval estimates in the practical implementation of this method has been studied. The term "ordinal-interval pattern clustering" is proposed. The potential for reducing computational complexity by introducing additional constraints is presented. Recommendations on the appropriateness of using ordinal-interval pattern clustering are discussed. An example of a practical application was studied using synthetic data. Recommendations for using ordinal-interval pattern clustering will help researchers and analysts optimize the data analysis process and obtain more accurate and interpretable results. Examples of practical application of the method on various types of data highlight its universality and effectiveness.

Research target: Computer Science Mathematics
Language: English
Full text
DOI
Text on another site
Keywords: pattern analysisанализ паттерновpatternпаттернordinal-interval pattern clusteringпорядково-интервальная паттерн-кластеризация
Similar publications
Shrimps as a fundamental object of nonlinear dynamics. Overview, properties and quasi-periodic generalization
Kuznetsov A. P., Sedova Y. V., Sataev I. R. et al., Mathematics and Computers in Simulation 2027 Vol. 2 P. 574–592
Universal bifurcation structures on the parameter plane of nonlinear systems, known as shrimps, are discussed. An overview of numerous examples from various fields of science is given. Shrimps are typical for both maps of different dimensions and flows. The varieties of shrimp are discussed and relevant examples are given. The similarity property on the parameter ...
Added: October 14, 2026
Studies in Computational Intelligence
Springer, 2026.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIV International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2025). The carefully selected papers cover ...
Added: October 13, 2026
Lecture Notes in Civil Engineering
Springer, 2026.
This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 3rd International Conference on Sustainability: Developments and Innovations (ICSDI 2026), this book presents a selection of ...
Added: October 13, 2026
Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network
Dmitriev A., Kornilov V., Batienkov R., Lecture Notes in Civil Engineering 2026 Vol. 886 P. 249–255
Numerous studies have provided compelling evidence that the probability distribution of avalanche sizes follows a power law, and that 1/f noise is present in the stochastic dynamics of landslides. We present a theoretical explanation of these phenomena within the framework of self-organized criticality theory, proposing a discrete-time model in the form of a sandpile cellular ...
Added: October 13, 2026
Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network
Dmitriev A., Shulman I., Lebedev A., Studies in Computational Intelligence 2026 Vol. 1265 P. 266–273
A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu ...
Added: October 13, 2026
When universal machine learning models fail in capacitance prediction for carbon-based supercapacitors: Leakage-aware validation and electrolyte screening
Makarov D. M., Kalikin N., Fashchevsky K. A. et al., Electrochimica Acta 2026 Vol. 579 Article 150159
Machine learning (ML) has become a powerful tool for accelerating the development of carbon-based supercapacitors; however, most published models assume that a single predictive framework can describe both conventional porous carbons and hybrid carbon electrodes. Here, we test this assumption using a comprehensive benchmark dataset and an extended literature-curated dataset enriched with synthesis- and electrolyte-related descriptors. Three ML algorithms ...
Added: October 13, 2026
LiteKV: A KV cache compression method for efficient inference on resource-constrained devices
Zhang Z., Ilvovsky D., Information Processing and Management 2026 Vol. 63 No. 7
Transformer-based Large Language Models (LLMs) rely on Key-Value (KV) cache to accelerate autoregressive decoding, but memory and compute requirements still grow with context length, limiting deployment on resource-constrained devices. Existing training-free KV cache compression methods mainly rely on attention-driven retention heuristics, which may under preserve structurally informative tokens under tight cache budgets, especially when such ...
Added: October 13, 2026
Poincaré series of valuations on functions over a subfield of complex numbers
Gusein-Zade S., Campillo A., Delgado F., Mathematische Zeitschrift 2026 Vol. 314 No. 1 P. 1–22
For a subfield $\K$ of the field $\C$ of complex numbers, we consider curve and divisorial valuations on the algebra $\K[[x,y]]$ of formal power series in two variables with the coefficients in $\K$. We compute the semigroup Poincar\'e series and the classical Poincar\'e series of a (discrete, rank one) valuation on it. ...
Added: October 13, 2026
No Species Is an Island, Entire of Itself: Genetic Speciation Algorithm with Interplay among Species
International Journal of Engineering, Transactions B: Applications 2027 Vol. 40 No. 5 P. 1437–1460
This paper, with a particular emphasis on Genetic Algorithm (GA), proposes a novel approach that integrates clustering mechanisms, predator-prey dynamics, and a distinctive selection strategy for generating subsequent populations. The proposed evolutionary algorithm, referred to as Genetic Speciation Algorithm with Interplay Among Species (GSAIS), is comprehensively evaluated against several variants of GAs as well as ...
Added: October 12, 2026
Wave scattering by a sloping beach of an arbitrary angle. Revisited: regular solution
Mishuris G., Meylan M. H., Pelinovsky E., Journal of Fluid Mechanics 2026 Vol. 1045 Article A4
In this paper, we revisit the classic problem of a wave field on a sloping beach of an arbitrary angle and propose a general approach that allows the computation of regular solutions of the problem regardless of the angle. We use the Mellin-transform technique, reducing the problem to singular integral equations with fixed-point singularities of ...
Added: October 12, 2026
JavaCapsule: Итеративная генерация и отладка Java-кода на основе структурированной обратной связи
Alexandrov D., Vasilevsky V., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 5 С. 73–90
Large language models demonstrate limitations in tasks that require precise information retrieval from very long input sequences. This limitation affects code generation in large object-oriented systems, where correctness depends on complex inter-class dependencies and the analysis of long execution traces that exceed standard context window sizes. This paper presents JavaCapsule, a technology for automated generation ...
Added: October 12, 2026
Proceedings of the 34th IUPAP Conference on Computational Physics: CCP2023, August 4-8, Kobe, Japan
Singapore: Springer, 2026.
This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...
Added: October 12, 2026
Дифференциальная геометрия и топология. Курс лекций
Gusein-Zade S., М.: МЦНМО, 2026.
Книга содержит курс лекций по дифференциальной геометрии и топологии, читавшихся автором на механико-математическом факультете МГУ в разные годы. В дополнениях приводятся некоторые сюжеты (связности в расслоениях, теорема Фробениуса, производные Ли и др.), которые были включены в курс в отдельные годы либо содержались в аналогичных курсах лекций в Независимом московском университете. Для студентов математических и физических специальностей. ...
Added: October 12, 2026
РАЗРАБОТКА МЕТОДА И АЛГОРИТМОВ АДАПТИВНОГО ФЕДЕРАТИВНОГО ОБУЧЕНИЯ С УЧЕТОМ РАСПРЕДЕЛЕННОГО ЗАПАЗДЫВАНИЯ КЛИЕНТСКИХ ОБНОВЛЕНИЙ
Zykov S. V., Ермаков С. Р., Современные наукоемкие технологии 2026 № 9 С. 43–53
При федеративном обучении с неоднородными клиентскими данными и переменными задержками запоздавшие обновления могут ухудшать качество модели, а обмен параметрами с глобальным сервером увеличивает сетевую нагрузку. Целью исследования является разработка и теоретико-экспериментальное обоснование метода и алгоритмов адаптивного федеративного обучения с учетом распределенного запаздывания клиентских обновлений. Для обоснования разрабатываемых решений использованы событийная и непрерывная модели градиентных обновлений, ...
Added: October 11, 2026
О воспроизводимости анализа временных рядов на основе матричных профилей
Брычков М. Е., Незнанов А.А., Программирование 2026 № 4 С. 50–66
The matrix profile (MP) quickly became one of the most important time series preprocessing methods when it was introduced in 2016, facilitating the solution of a wide range of time series analysis problems, in particular anomaly and pattern detection problems. The high significance has led to the emergence of various tools for MP calculating, but ...
Added: October 9, 2026
Теория вероятностей и математическая статистика. Олимпиадные задачи
М.: Юрайт, 2026.
The Collection of Olympiad Problems (COP) in Probability Theory and Mathematical Statistics (PTMS) is offered as a teaching aid primarily for university students and faculty as a developmental supplementary resource, expanding the range of problems to be solved in lectures, seminars, and out-of-class independent work with students in various formats, including (as the title suggests) ...
Added: October 9, 2026
Человеко-машинная система анализа и улучшения качества условий проживания населения
Aleskerov F. T., Вайншток А. П., Делахова А. М. et al., Информационные процессы 2026 Т. 26 № 3 С. 895–913
The development and effective management of territorial entities are priority issues for all states, particularly in the context of the digital transformation of public administration. Over the past decade, the integration of information technologies into municipal and regional planning has significantly altered approaches to strategic development, service delivery, and public engagement. This paper describes the ...
Added: October 9, 2026
Феноменология состояния счастья
Анашкин Н. Р., Вопросы психологии 2026 Т. 72 № 1 С. 95–107
Слово «счастье» и его эквиваленты (happiness, bonheur, felicità, μακαριότης) содержат универсальную отсылку к особому качеству переживания – живому, непосредственно чувствуемому индикатору, – который позволяет отождествлять разные названия этого переживания, используемые в других языках. За словом «счастье» стоит устойчивое качество опыта, узнаваемое в разных культурах: вербальные формы, выражающие данное чувство, выступают орудиями прояснения и обогащения (амплификации) ...
Added: September 4, 2026
Феноменологические маркеры состояния счастья: содержание, инвариантность и динамика
Анашкин Н. Р., Психология. Журнал Высшей школы экономики 2026 Т. 23 № 3 С. 559–583
The topic of happiness has historically retained a central place in public consciousness and remains relevant to various scientific disciplines, from philosophy to neurophysiology. In contemporary psychology, happiness is studied as an existentially significant phenomenon, closely linked to physiological processes, subjective well-being, and the individual's value-semantic orientations. The experience of happiness is interpreted through sociocultural ...
Added: September 4, 2026
Bibliometric Analysis by Network Models
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
Динамический паттерн-анализ поведения российских банков в период 2017–2021 гг.
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
Methodological Foundations of Validation and Quality Assessment of Pattern Analysis Results
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
Роль очага инфаркта мозга в определении этиологии ишемического инсульта: обзор литературы
Кулеш А. А., Мехряков С. А., Демин Д. А. et al., Неврология и нейрохирургия Восточная Европа 2025 Т. 15 № 3 С. 436–445
The etiology of ischemic stroke is extremely diverse. According to the SSS-TOAST classification, ischemic stroke can be caused by atherosclerotic lesions of large arteries, cardiogenic thromboembolism, occlusion of small arteries (lacunar), other established (dissection, cerebral venous thrombosis, migraine, reversible cerebral vasoconstriction syndrome, antiphospholipid syndrome, etc.), and unspecified causes. Strokes of unknown etiology may be caused ...
Added: October 20, 2025
A Method for Improving the Accuracy of Regression Models Based on Ordinal-Invariant Pattern Clustering
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
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit