Research output: Contribution to journal › Article › peer-review
The Digital Diversity in Russian Regional Dynamics: Analysis by Machine Learning Methods. / Войтенко, Сергей Семенович; Гадасина, Людмила Викторовна; Luukka, Pasi.
In: Nordic Journal of Business, Vol. 69, No. 1, 2020, p. 7-20.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - The Digital Diversity in Russian Regional Dynamics: Analysis by Machine Learning Methods
AU - Войтенко, Сергей Семенович
AU - Гадасина, Людмила Викторовна
AU - Luukka, Pasi
PY - 2020
Y1 - 2020
N2 - The paper focuses on the digital economy of the Russian Federation by analyzing the level of digitization of its regions based on official statistical data from open sources using machine learning methods with verification of the most strongly influencing factors. Hierarchical clustering is applied to determine different groups of regions. Random Forest classification algorithm enabled us to explain the peculiar properties of the different regional groups.
AB - The paper focuses on the digital economy of the Russian Federation by analyzing the level of digitization of its regions based on official statistical data from open sources using machine learning methods with verification of the most strongly influencing factors. Hierarchical clustering is applied to determine different groups of regions. Random Forest classification algorithm enabled us to explain the peculiar properties of the different regional groups.
KW - Russian regions
KW - Federal state statistics
KW - cluster analysis
KW - random forest algorithm
KW - digitalization
M3 - Article
VL - 69
SP - 7
EP - 20
JO - Nordic Journal of Business
JF - Nordic Journal of Business
SN - 2342-9003
IS - 1
ER -
ID: 58559662