The use of data mining techniques to predict the ranking of E-government services

Nayla Salem Alkhatri, Nazar Zaki, Elfadil Mohammed, Musa Shallal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The usage and improvement of information and communication technologies to enhance public sector services (e-Government) was recognized as an important task for the majority of governments in developed countries. Several countries are working hard to improve their e-Government ranking to support their sustainable development. This study employed several data mining techniques to build models that can adequately predict the e-Government ranks of 192 United Nation countries and identify the factors that affect those ranks. Our analysis and results show that the attributes the UN uses to rank countries are well conceptualized and, therefore, we were able to accurately predict the e-Government ranking of the countries involved using supervised learning (classification) and supervised learning (regression). The analysis also shows that e-Government and telecommunication infrastructure index, fixed telephone subscriptions, Internet usage, human capital, and online service index are the most important factors in e-Government ranking.

Original languageEnglish
Title of host publicationProceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509053438
DOIs
Publication statusPublished - Mar 16 2017
Event12th International Conference on Innovations in Information Technology, IIT 2016 - Al Ain, United Arab Emirates
Duration: Nov 28 2016Nov 29 2016

Publication series

NameProceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016

Other

Other12th International Conference on Innovations in Information Technology, IIT 2016
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period11/28/1611/29/16

Keywords

  • Data mining
  • UN ranking
  • e-Government

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Computer Networks and Communications
  • Instrumentation

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