文章基本信息

标题：Applying Apriori Rules Mining in Evaluating Digital Government Services Patronization by a Younger Generation of Users in Russia
本地全文：下载
作者：Ebenezer Agbozo
期刊名称：TEM Journal
印刷版ISSN：2217-8309
电子版ISSN：2217-8333
出版年度：2019
卷号：8
期号：4
页码：1207-1212
DOI：10.18421/TEM84-14
语种：English
出版社：UIKTEN
摘要：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.
关键词：Association Rules Mining;Russia;egovernment;data mining;e-services usage;Gosuslugi;youth.