Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology 2017
DOI: 10.18287/1613-0073-2017-1903-48-53
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Big Data Analysis for Demand Segmentation of Small Business Services by Activity in Region

Abstract: AnnotationThe article suggests a tool for the efficiency improvement in using budget funds in the region in the sphere of small business. This is the most important task in the current economic conditions, in which solution there is a possibility of making effective management decisions. The suggested method of regulation based on the analysis of social networks using BIG DATA technology can be effective in managing various innovative processes of economic development in the region, which are characterized by … Show more

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Cited by 4 publications
(1 citation statement)
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“…In the context of crisis management, management decisions in the field of pricing based on methods that are sensitive to changes in economic factors come to the fore in the construction industry (Geraskin & Kuznetsova, 2020;Geras'kin & Chkhartishvili, 2017;Komarevtseva, 2017;Ramzaev et al, 2016Ramzaev et al, , 2017Ramzaev et al, , 2020. Of the modern forecasting methods with maximum sensitivity, the neural network modeling method can be distinguished as the most preferable for this parameter (Borovikov, 2001).This method is often used in various fields, for example, such as predicting optimal technological parameters in injection molding, stamping tooling (Demyanenko & Popov, 2012;Grechnikov et al, 2016;Grechnikov et al, 2018) , additive technologies (Agapovichev et al, 2017;Smelov et al, 2016), in modeling the structure of a material (Grechnikov & Khaimovich, 2015).…”
Section: Research Questionsmentioning
confidence: 99%
“…In the context of crisis management, management decisions in the field of pricing based on methods that are sensitive to changes in economic factors come to the fore in the construction industry (Geraskin & Kuznetsova, 2020;Geras'kin & Chkhartishvili, 2017;Komarevtseva, 2017;Ramzaev et al, 2016Ramzaev et al, , 2017Ramzaev et al, , 2020. Of the modern forecasting methods with maximum sensitivity, the neural network modeling method can be distinguished as the most preferable for this parameter (Borovikov, 2001).This method is often used in various fields, for example, such as predicting optimal technological parameters in injection molding, stamping tooling (Demyanenko & Popov, 2012;Grechnikov et al, 2016;Grechnikov et al, 2018) , additive technologies (Agapovichev et al, 2017;Smelov et al, 2016), in modeling the structure of a material (Grechnikov & Khaimovich, 2015).…”
Section: Research Questionsmentioning
confidence: 99%