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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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?

The Ontology-Based Event Mining Tools for Monitoring Global Processes

P. 108–113.
Abrosimova Polina, Shalyaeva I., Lyadova L. N.

Abstract — This paper describes the Event Mining platform. The platform allows analyzing information extracted from Internet sources and structuring data for process mining execution according to event log format. The basic component of the monitoring system is the multifaceted ontology joined a few ontology types. The problem ontology describes domains representing research interests of experts needing analysis of world events to model global processes including events of specified types. Our goal for this part of KB is to provide users ability to independently expand the under study field without having any subject limitations, which makes it possible to talk about obtaining global processes models in result. The log ontology describes event logs formats. It is a “meta-ontology” for structuring data extracted from Internet. The sources ontology defines information sources used by experts for analysis. Ontologies are used to search information on events with information retrieval tools. Ontology-driven architecture is described. The algorithm for optimizing task of searching and structuring the information on events is presented. Some examples of event mining with different tools are considered in the paper.

Language: English
Full text
DOI
Keywords: service-oriented architectureevent logsfact extractionInternet newsprocess modellingmultifaceted ontologyevent mining

In book

The IEEE 12th International Conference on Application of Information and Communication Technologies / AICT 2018: Conference Proceedings
Almaty: Institute of Electrical and Electronics Engineers Inc., 2018.
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