Vol.8, No.4, November 2019.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

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


Ebenezer Agbozo


© 2019 Ebenezer Agbozo, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 8, Issue 4, Pages 1207-1212, ISSN 2217-8309, DOI: 10.18421/TEM84-14, November 2019.


Received: 10 July 2019.

Revised:   28 October 2019.
Accepted:  01 November 2019.
Published: 30 November 2019.




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.


Keywords – Association Rules Mining, Russia, e-government, data mining, e-services usage, Gosuslugi, youth.



Full text PDF >  



Copyright © 2012-2019 UIKTEN, All Rights reserved
Copyright licence: All articles are licenced via Creative Commons CC BY-NC-ND 4.0 licence