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Title: Application of Classification Methods to a Problem Related to Specific Groups of E-Government Users
Authors: Angelova, Vesela
Eskenazi, Avram
Keywords: Classification Methods
Issue Date: 2008
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 2, No 1, (2008), 19p-30p
Abstract: One of the important tasks of the EU ELOST project on E-government and Low Socio-Economic Status Groups (LSG) was to compare experts’ opinions on fundamental problems of the subject. This papers shows how the application of specific classification methods to experts’ formalized answers could lead to some non-trivial and objective conclusions about interdependencies and the interrelation between e-government policies/tools and experts’ background and country affiliation.
Description: This paper was partly supported by ELOST – a SSA EU project – No 27287.
ISSN: 1312-6555
Appears in Collections:Volume 2 Number 1

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