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July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.

 

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WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics

Association for Computing Machinery (ACM), 2020.
Under the general editorship: R. Chbeir, Y. Manolopoulos, R. Akerkar, J. Mizera-Pietraszko

On behalf of the conference chairs, we welcome you to the 10th International Conference on Web Intelligence, Mining and Semantics (WIMS'20) hosted by LIUPPA Lab of the University de Pau & Pays de l'Adour, Biarritz-France. The 1st WIMS conference was organized in Sogndal Norway. Since then, it has always been published by ACM. After 10 years of continuous presence, this conference has become the premier forum for the dissemination of leading-edge research in Web Intelligence and Mining. The WIMS conference series continues this tradition of bringing students, researchers and practitioners together to exchange and share their contributions. Previous events took place in Seoul, Korea (2019), Novi Sad, Serbia (2018), Amantea, Italy (2017), Nimes, France (2016), Limassol, Cyprus (2015), Thessaloniki, Greece (2014), Madrid, Spain (2013), Craiova, Romania (2012), and Sogndal, Norway (2011). The 10th WIMS involved lots of people such as, for example, 102 PC members, all of whom have been selected for their strong expertise and special interest in their respective research areas.

The following areas were included in the Call for Papers: Web Intelligence, Web Mining, Information and Knowledge Extraction, Web Semantics and Reasoning, Applications, and Evaluation and Validation Methodologies. In the 10th WIMS conference, we are really gratified by the international diversity of this conference: authors of submitted work hail from no less than 40 countries (see Figure 2). All the 52 submitted papers went through a peer-review process by at least three independent academic reviewers. Where needed, more reviewers were consulted to resolve potential conflicts. The conference program committee had a very challenging task of choosing between high quality submissions. Out of all submissions, 22 regular papers and 1 short paper were selected for presentation in the conference program and inclusion in the main conference proceedings. In addition, WIMS'20 accommodated the Special Track on Social and Big Data in 5G era. In particular, 5 regular papers were selected for inclusion in this track.

Chapters
A Hybrid Approach to Interpretable Analysis of Research Paper Collections
Mirkin B., Frolov D., Vlasov A. et al., , in: WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics.: Association for Computing Machinery (ACM), 2020. P. 184–189.
We define and find a most specific generalization of a fuzzy set of topics assigned to leaves of the rooted tree of a taxonomy. This generalization lifts the set to a “head subject” in the higher ranks of the taxonomy, that is supposed to “tightly” cover the query set, possibly bringing in some errors, both ...
Added: August 28, 2020
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: machine learningKnowledge Discovery and Data MiningWeb MiningData Science and Advanced Analytics
WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics
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