Clustering and Generalized ANOVA for Symbolic Data Constructed from Open Data
Korenjak–Cerne S., Kejzar N., Batagelj V.
ISTE, Wiley, 2020
dg.o '16: Proceedings of the 17th International Digital Government Research Conference on Digital Government Research
NY : Association for Computing Machinery (ACM), 2016
The dg.o conferences are an established forum for presentation, discussion, and demonstration of interdisciplinary research on digital government, political participation, civic engagement, technology innovation, applications, and practice. Each year the conference brings together scholars recognized for the interdisciplinary and innovative nature of their work, their contributions to theory (rigor) and practice (relevance), their focus on ...
Added: June 14, 2016
, Статистика и Экономика 2018 Т. 15 № 2 С. 30-37
The article includes the observation of the cluster analysis of medical data on the example of the cardiac data. One of the main effective and commonly used Data Mining methods that applied to the large amounts of information (for example, mathematical economics) are clustering methods: the search for signs of similarity between objects in the study of the subject area ...
Added: May 29, 2018
APPLICATION OF DATA ENVELOPMENT ANALYSIS IN MANAGEMENT RESEARCH (CASE OF RUSSIAN DOMESTIC ENERGY SECTOR)
, / Высшая школа экономики. Series MAN "Management". 2013.
The idea that different firms can be classified into relatively homogeneous groups has been popular for many years, and many typologies have been developed and tested using a variety of classification tools. It has become apparent, however, that most clustering tools are somewhat limited, because they create groups of companies based on similar characteristics, without ...
Added: February 18, 2014
Usage of Clustering of Paley Graphs in Polar Coordinates for the Development of New Network on Chip Topologies
, , , , in : 2022 International Russian Automation Conference (RusAutoCon). : IEEE, 2022. P. 419-423.
The article presents a study of clustering of Paley graphs with the arrangement of prime numbers in polar coordinates and a comparison of the resulting groups in terms of their static parameters; the application of fault-tolerant self-organizing routing method for new topologies is also considered. This article is a continuation of a series of articles ...
Added: October 2, 2022
ОБРАБОТКА И АНАЛИЗ РЕЗУЛЬТАТОВ МОНИТОРИНГОВ ДЛЯ УПРАВЛЕНИЯ ФОРМИРОВАНИЕМ УСЛОВИЙ КАЧЕСТВЕННОГО ОБРАЗОВАНИЯ
, Моделирование, оптимизация и информационные технологии 2017 Т. 5 № 4 С. 1-18
The article reviews models and procedures for processing and evaluation of monitoring results, including student participation, focused on intellectual support of administrative managerial decisions when developing of conditions and corresponding resources for the achievement of applicable regulatory requirements for the quality of university education. The first stage of processing is normalization of factors which characterize ...
Added: August 19, 2019
, Electronic Notes in Discrete Mathematics 2015 No. 47 P. 213-220
Clustering cities based on their socio-economic development in long time period is an important issue and may be used in many ways, e.g., in strategic regional planning. In this paper we continue our recent study where cumulative attribute for each year replaces nine other attributes, called ’vector of dynamics’. In our previous paper some original ranking method was proposed. ...
Added: November 12, 2015
Formal Concept Analysis: 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length. The research part ...
Added: July 10, 2021
Tech Mining for Emerging STI Trends Through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics
, , , in : Anticipating Future Innovation Pathways Through Large Data Analysis. : Netherlands : Springer, 2016. P. 341-360.
Technology mining (TM) helps to acquire intelligence about the evolution of research and development (R&D), technologies, products, and markets for various STI areas and what is likely to emerge in the future by identifying trends. The present chapter introduces a methodology for the identification of trends through a combination of “thematic clustering” based on the ...
Added: June 20, 2016
Кластеризация медицинских больших данных как инструментарий систем поддержки принятия решений в математической кардиологии с использованием облачных технологий
, , , Системный администратор 2018 Т. 188-189 № 07-08 С. 92-96
Массовое использование мобильных устройств для съема электрокардиограмм (ЭКГ) приводит к количественному росту доступных для исследования ЭКГ множества пациентов. Таким образом, появляются новые возможности исследования колебательных процессов долговременной динамики индивидуального состояния сердечно-сосудистой системы (ССС) любого пациента. В статье демонстрируются новые возможности долговременного постоянного наблюдения за состоянием ССС массы пациентов, позволяющие выявить закономерности динамики ССС, которые приводят к ...
Added: September 13, 2018
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarity
, , et al., Analytical Chemistry 2013 Vol. 85 No. 23 P. 11189-11195
Imaging mass spectrometry (imaging MS) has emerged in the past decade as a label-free, spatially resolved, and multipurpose bioanalytical technique for direct analysis of biological samples from animal tissue, plant tissue, biofilms, and polymer films. Imaging MS has been successfully incorporated into many biomedical pipelines where it is usually applied in the so-called untargeted mode-capturing spatial localization of a multitude of ions ...
Added: November 18, 2013
Практика использования открытых данных в курсе "Программирование" образовательной программы бакалавриата "Программная инженерия"
, , Образование и наука 2016 Т. 139 № 10 С. 107-121
The aim of the publication is to show the possibilities of use of open data in teaching courses of programming. Methods. The results of adoption of the technique presented in the publication to the process of training in programming at the first year of the course «Program Engineering» are received by a comparative research and analysed ...
Added: January 6, 2017
, , , Proceedings of the Institute for System Programming of the RAS 2022 Vol. 34 No. 2 P. 43-56
Abstract. The development and support of knowledge-based systems for experts in the field of social network analysis (SNA) is complicated because of the problems of viability maintenance that inevitably emerge in data intensive domains. Largely this is the case due to the properties of semi-structured objects and processes that are analyzed by data specialists using ...
Added: July 23, 2022
, , , Transforming Government: People, Process and Policy 2017 Vol. 11 No. 1 P. 132-156
Purpose. In this paper we compare the open government data ecosystems of Mexico, Russia and the United States in an effort to extract some of the major points of similarity and differentiation between these countries, and to trace how variations in these ecosystems may be related to context-specific historical problems and politics, particularly with regard ...
Added: March 9, 2017
, , Optimization Letters 2017 Vol. 11 No. 2 P. 247-247
Clustering and search techniques are essential to a wide spectrum of applications. Network clustering techniques are becoming common in the analysis of massive data sets arising in various branches of science, engineering, government and industry. In particular, network clustering and search techniques emerge as an important tool in large-scale networks. This special issue of Optimization Letters ...
Added: September 12, 2016
, , International Journal of Electronic Government Research 2017 Vol. 13 No. 4 P. 1-14
Information openness and stakeholders’ involvement through ICT become the driving factors of public organization change. In this paper an “ecosystem” approach is embraced to study social sphere organizations (SSO), such as hospitals, schools, and libraries. SSO report on their activities by publishing information on the Web which can be used to evaluate the effectiveness and ...
Added: January 23, 2018
, , , Информационные технологии 2022 Т. 28 № 10 С. 529-538
The development and support of knowledge-based systems for experts in the field of social network analysis (SNA) is complicated because of the problems of viability maintenance that inevitably emerge in data intensive domains. Largely this is the case due to the properties of semi-structured objects and processes that are analyzed by data specialists using data ...
Added: October 22, 2022
Russian Nationalist Movement Restructuring in light of the Ukrainian Events which took place in 2013-14
, / Social Science Research Network. Series SSRN Working Paper Series "SSRN Working Paper Series". 2015.
The events in Ukraine in 2013-2014 attracted the Russian society’s attention and affected the Russian political agenda. One of the most affected sectors of the Russian domestic policy was Russian nationalist organizations. The issue of radical nationalism has become essential for European countries and for Russia in particular. But this object is rather difficult to ...
Added: October 15, 2015
, , , Вопросы государственного и муниципального управления 2017 № 2 С. 27-56
One of the key goals of modern government’s social policy is to increase the quality of social services provision and, accordingly, the satisfaction level of citizens as social services consumers. Th e choice of methods and tools in order to solve this challenge is restricted to existing resources of government agencies: budget, personnel, information technologies, ...
Added: June 21, 2017
, , Искусственные общества 2020 Т. 15 № 3 С. 1-11
This article presents a new approach to designing agent-based bounded neighbourhood models (the Schelling’s models). An original agent-based model in the AnyLogic system has been developed, which describes the segregation processes caused by the behaviour patterns of agent-individuals. There are examined various scenarios (environment characteristics) affecting the cluster structure of the spatial distribution of agents. Using the proposed bounded ...
Added: September 14, 2020
, , , in : Proceedings of the 12th Central and Eastern European Software Engineering Conference in Russia. : NY : ACM, 2016.
A phenomenon of citizen science, its features and prospects are the topic of high actuality nowadays. And it seems to be natural, that citizen science and crowdsourcing techniques penetrate to such popular area as data science. This paper considers the questions about teaching data science and the areas, which borrow the techniques from data science. ...
Added: September 29, 2018
, , in : Lecture Notes in Computer Science. Vol. 10254: Digital Education: Out to the World and Back to the Campus.: Springer, 2017. P. 273-279.
This study is devoted to different types of students’ behavior before they drop an adaptive course. The Adaptive Python course at the Stepik educational platform was selected as the case for this study. Student behavior was measured by the following variables: number of attempts for the last lesson, last three lessons solving rate, the logarithm ...
Added: March 3, 2019
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning
, , et al., Pattern Recognition 2017 Vol. 67 P. 62-72
The Minkowski weighted K-means (MWK-means) is a recently developed clustering algorithm capable of computing feature weights. The cluster-specific weights in MWK-means follow the intuitive idea that a feature with low variance should have a greater weight than a feature with high variance. The final clustering found by this algorithm depends on the selection of the ...
Added: March 30, 2017
Clustering of Biomedical Data Using the Greedy Clustering Algorithm Based on Interval Pattern Concepts
, , , , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2019). : [б.и.], 2019. P. 65-74.
nterval pattern concepts are a particular case of patternstructures. They can be used to clusterize rows of a numerical formalcontext (data matrix): two rows are close to each other if their entriesat the corresponding positions fall within a given interval.The problem of mining interval pattern concepts has much in commonwith the known problem related to ...
Added: April 28, 2020
, , , in : Electronic Governance and Open Society: Challenges in Eurasia. (EGOSE 2016). St. Petersburg, Russia — November 22 - 23, 2016. : NY : [б.и.], 2016. P. 120-125.
The paper analyzes factors and problems of open data implementation in terms of open data belonging to large Russian cities (populated over 100 000). The study analyzes legal and organizational aspect of development of Russian open data sector and formulates legal, technological, and infrastructural problems. According to the study data, incomprehensiveness of innovation transfer leads to ...
Added: February 25, 2017