Geodesic
Data modeling in the solution of hard-to-formalise socio-economic problems
Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 12 (2019) no. 2, pp. 249-260.

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Algorithms for data modeling in the solution of hard-to-formalize social problems are considered in the paper. They are connected with the healthcare in terms of interconnections and interactions of territories of the Yenisei Siberia where the Krasnoyarsk Krai is the key region. 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 are considered to solve the problems. GIS technologies and modern approaches to model various data are described.
Keywords: data analysis algorithms, databases, data modelling, neural networks.
Mots-clés : GIS 
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     title = {Data modeling in the solution of hard-to-formalise socio-economic problems},
     journal = {\v{Z}urnal Sibirskogo federalʹnogo universiteta. Matematika i fizika},
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Konstantin V. Simonov; Mikhail A. Kurako; Alexey A. Kabanov; Fedor P. Kapsargin; Lubov F. Zueva; Artem V. Ershov; Svetlana N. Grib. Data modeling in the solution of hard-to-formalise socio-economic problems. Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 12 (2019) no. 2, pp. 249-260. http://geodesic.mathdoc.fr/item/JSFU_2019_12_2_a11/

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