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  • РАЗРАБОТКА КОНСТРУКТОРА ЖУРНАЛОВ СОБЫТИЙ С ДОПОЛНИТЕЛЬНЫМИ АТРИБУТАМИ
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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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?

РАЗРАБОТКА КОНСТРУКТОРА ЖУРНАЛОВ СОБЫТИЙ С ДОПОЛНИТЕЛЬНЫМИ АТРИБУТАМИ

С. 113–122.
Платунов А. И., Lyadova L. N.

The goal of the project is to develop tools for generating and processing event logs including additional attributes for analyzing processes with Process Mining tools. Implementation are based on low-code principles. This enables non-programmers to develop their own data processing rules for generating and preprocessing event logs with additional attributes. The core of the system is a multifaceted ontology, including descriptions of rules (functions) and data. The research prototype of the application implements algorithms for parsing descriptions of the rules and their interpretation. Generated logs are saved in the formats used by Process Mining tools. The developed prototype illustrates the practical significance of the proposed approach.

Language: Russian
Full text
Keywords: process miningанализ процессовжурналы событийevent logs event log generationmultifaceted ontologyмногоаспектная онтологияevent attributesrules interpreterrules designerатрибуты событийгенерация журнала событийконструктор правилинтерпретатор правил

In book

ТЕХНОЛОГИИ РАЗРАБОТКИ ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ (ТРИС-2023): материалы конференции
Таганрог: Издательство ЮФУ, 2023.
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