2015
DOI: 10.5901/mjss.2015.v6n6s2p384
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Abstract: The purpose of this study is identifying criteria and evaluation of interregional differentiation of information and communication space of Russia. The analysis of modern research and publications on the subject of the study of differentiation of space by the level of development of information and communication technologies was made. Demonstrated the specifics of different crosscountry differentiation, it is established that In contrast to the estimation of situation of cross-country differentiation, mark of … Show more

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“…Actually, in general, the cluster approach gains popularity in economy. In recent years, many papers on this subject have been published by Russian authors (Gorochnaya et al, 2020;Ilyasov et al, 2019;Koroleva & Kurnikova, 2020;Kudryavtseva et al, 2020;Perminova et al, 2019;Perova & Papko, 2019;Taranova et al, 2015;Zhelnova, 2012) and by authors from other countries (Haddad & Rahman, 2020;Kumar et al, 2017;Ma et al, 2020;Mishchenko & Mishchenko, 2018) on the necessity to group regions depending on their particularities and differentiate the approaches for managing regions (Baranov et al, 2015). Researchers use modern data mining methods, in particular, self-organizing maps as one of the clusterization methods (Gritsay et al, 2018;Liashenko et al, 2018;Orazi et al, 2020).…”
Section: Problem Statementmentioning
confidence: 99%
“…Actually, in general, the cluster approach gains popularity in economy. In recent years, many papers on this subject have been published by Russian authors (Gorochnaya et al, 2020;Ilyasov et al, 2019;Koroleva & Kurnikova, 2020;Kudryavtseva et al, 2020;Perminova et al, 2019;Perova & Papko, 2019;Taranova et al, 2015;Zhelnova, 2012) and by authors from other countries (Haddad & Rahman, 2020;Kumar et al, 2017;Ma et al, 2020;Mishchenko & Mishchenko, 2018) on the necessity to group regions depending on their particularities and differentiate the approaches for managing regions (Baranov et al, 2015). Researchers use modern data mining methods, in particular, self-organizing maps as one of the clusterization methods (Gritsay et al, 2018;Liashenko et al, 2018;Orazi et al, 2020).…”
Section: Problem Statementmentioning
confidence: 99%