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Data Modeling in the Solution of Difficult-to-Formalize Socio-Economic Problems

Authors: Simonov Konstantin V. Симонов Константин В.; Kurako Mikhail A. Курако Михаил А.; Kabanov Alexey A. Кабанов Алексей А.; Kapsargin Fedor P. Капсаргин Федор П.; Zueva Lubov F. Зуева Любовь Ф.; Ershov Artem V. Ершов Артем В.; Grib Svetlana N. Гриб Светлана Н.;

Data Modeling in the Solution of Difficult-to-Formalize Socio-Economic Problems

Abstract

The research is devoted to the development of algorithms for data modeling in solution of difficult-to- formalize socially important tasks, which are connected with healthcare in terms of interconnections and interactions of the territories of the Yenisei Siberia. Here the Krasnoyarsk Krai is the key region. The work offers the elements of information system for the analysis of the current state and estimation of the scenarios of future interaction of the territories of the Yenisei economic zone in solving the problems in this field. The article describes GIS technologies and modern means of modeling various data observations Исследование посвящено разработке алгоритмического обеспечения для моделирования данных при решении трудно формализуемых социально значимых задач, связанных с здравоохранением в разрезе взаимосвязей и взаимодействий территорий Енисейской Сибири, где Красноярский край играет роль ключевого региона. В работе предлагаются элементы информационной системы для анализа текущего состояния и оценка сценариев будущего взаимодействия территорий Енисейской экономической зоны в решении проблем в этой актуальной предметной области. Предлагаются решения в формате ГИС-технологий и современные средств моделирования разнородных данных наблюдений

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Keywords

data modelling, databases, 330, 20.23.27, GIS, neural networks, data analysis algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold