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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
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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.

 

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Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)

Vol. 1197: Supplementary Proceedings of AIST 2014. Ekaterinburg : CEUR Workshop Proceedings, 2014.
Under the general editorship: Ignatov D. I., M. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky, D. Ustalov

AIST'2014 is an international data science conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science.

LIST OF TOPICS (NON EXHAUSTIVE)

  • Applications of Data Mining and Machine Learning techniques to
    • Analysis of images and video
    • Natural Language Processing
    • Social Network Analysis
    • Recommender systems and collaborative technologies
    • Geoinformation systems
    • Game analytics
    • Information Retrieval
  • Core Data Mining and Machine Learning techniques
  • Sematic Web and Ontologies
  • Data Mining in social sciences and economics
    • Computational econometrics
    • Experimental Economics
    • Educational Data Mining
Chapters
Visual analytics in FCA-based triclustering
Kashnitsky Y., , in: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. Ch. 12 P. 69–80.
Visual analytics is a subdomain of data analysis which combines both human and machine analytical abilities and is applied mostly in decision-making and data mining tasks. Triclustering, based on Formal Concept Analysis (FCA), was developed to detect groups of objects with similar properties under similar conditions. It is used in Social Network Analysis (SNA) and ...
Added: August 28, 2014
Общественное мнение онлайн: сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала
Svetlana Alexeeva, Olessia Koltsova, Sergei Koltsov, В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. С. 177–181.
Статья посвящена сравнению тематической структуры и ос- новных статистических параметров постов «обычных» и «популярных» блогеров Живого Журнала. Исследование показало существенное темати- ческое сходство обеих выборок, была опровергнута гипотеза о большем интересе «топовых» блогеров к социально-политическим темам по срав- нению с обычными блогерами. Различие между двумя группами заключа- ется в меньшей активности и большей зашумленности данных ...
Added: October 8, 2014
Analysis System of Scientific Publications Based on the Ontology Approach
Svetlana A. Strinuk, Lanin V., , in: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. P. 81–85.
The article describes an approach to scientific publications repository creation based on ontology approach and corpus linguistics methods, processing of unstructured data (scientific papers) using GATE. Implementation of discussed methods is intended to decrease significantly labor intensity of information search and analysis, provide operational use of information in research. ...
Added: January 13, 2015
Использование семантического анализа текстов для поиска специалистов
Zakhlebin I. V., В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. С. 187–191.
This paper presents a semantic method for searching for the experts. The method operates over a set of texts authored by themselves. The query format allowing one to define a set of the selected skills, and the algorithms for constructing and comparing the semantic representations are also presented. The ExpSearch-1 (Experts Search, version 1) system ...
Added: July 11, 2015
Research target: Computer Science
Priority areas: IT and mathematics
Language: English
Full text
Text on another site
Keywords: машинное обучениеанализ изображенийанализ текстовинформационный поисккомпьютерное зрениеnatural language processingанализ социальных сетейbest practices for adaptation of data miningmachine learningsocial network analysisавтоматический анализ текстаimage analysis information retrievalмайнинг данных
Publication based on the results of:
Mathematical models, algorithms and software for data mining in the text and the structural form (2014)
Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)
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