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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.

 

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Data Science. Information Technology and Nanotechnology 2018

Issue 2212. CEUR Workshop Proceedings, 2018.
Academic editor: M. Sobolewski
Editor-in-chief: E. Goshin
Under the general editorship: V. Fursov

This volume contains the papers presented at session"Data Science" within the IV International Conference on Information Technology and Nanotechnology (ITNT-2018) which was held in Samara, Russia, April 24−27, 2018 (itnt-conf.org). The Conference is intended to provide a forum for leading scientists from all over the world to discuss the latest advances in the basic and applied research in the field of Information Technology and Nanotechnology, attract young people to advanced scientific research, and share the latest trends in training and research programs for future ITNT specialists [1]. In addition to the session mentioned above, ITNT-2018 also included the following Sections: "Computer Optics and Nanophotonics", "Image Processing and Earth Remote Sensing"," Mathematical Modeling of Physical-Technical Processes and Systems".The scientific forum in Samara brought together more than 420 scientists from more than 45 cities in Russia, Germany, United Kingdom, Finland, Switzerland, China, India, Pakistan, Iran, Iraq, Belarus, Moldova, Poland and many others. 407 talks enabled discussion on a wide range of topics. The topics of the papers in this volume include data mining, machine learning, security, cryptography, high performance computing. This year we have received 141 submissions addressed to "Data Science". The Program Committee members and the reviewers carefully reviewed each submission. Based on the reviews, Program Committee accepted 104 papers for presentation at the conference and publication. Program Committee published some of the accepted papers in Journal of Physics: Conference Series, in the volume covering all topics of the Conference. The current volume contains 59 papers not included in the Journal of Physics: Conference Series volume. I thank allthe participants of ITNT-2018 for excellent presentations and discussions.

Chapters
Cloud technologies in the problems of mathematical analysis of cardiological information
Zimina E., Shmid A., Новопашин М. А., , in: Data Science. Information Technology and Nanotechnology 2018Issue 2212.: CEUR Workshop Proceedings, 2018. P. 112–118.
The article includes the observation of the cloud services and technologies usage. The article contains a review of mathematical analysis of cardiac information using cloud technology, which produces storage, analysis and forecasting on the basis of owned data. In addition, the authors consider the possibility of integrating cloud technologies with external systems. The massive use of mobile devices for ...
Added: July 12, 2019
Application of the principal component analysis to detect semantic differences during the content analysis of social networks
Rytsarev I. A., Kozlov D., Kravtsova N. S. et al., , in: Data Science. Information Technology and Nanotechnology 2018Issue 2212.: CEUR Workshop Proceedings, 2018. P. 262–269.
In this paper, we propose an approach to semantic differences detection in texts presented in the form of frequency dictionaries. The original text data has been obtained by collecting records on various online communities. We have implemented a specialized software module that allows us to analyze and download both posts and comments from the social ...
Added: October 9, 2020
Priority areas: IT and mathematics business informatics mathematics engineering science
Language: English
Full text
DOI
Text on another site
Keywords: большие данныеbig dataBig Data analysisинформатика и информационные технологии
Data Science. Information Technology and Nanotechnology 2018
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