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Applying Apriori Rules Mining in Evaluating Digital Government Services Patronization by a Younger Generation of Users in Russia

Journal: TEM JOURNAL - Technology, Education, Management, Informatics (Vol.8, No. 4)

Publication Date:

Authors : ;

Page : 1207-1212

Keywords : Association Rules Mining; Russia; e-government; data mining; e-services usage; Gosuslugi; youth;

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The Russian Federation has been on a gradual course of improving digital public service delivery using its Gosuslugi platform. Research into the patronization of services has not been explored. In order to assess services patronized by a younger generation of Russians, survey data from students in the Sverdlovsk region is analysed using standard statistical techniques and apriori algorithms and association rules mining technique to generate association rules. The results of the study are discussed as well as theoretical contributions of the study in the light of the research findings.

Last modified: 2020-01-16 01:31:30