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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Monday 21 May 2018

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  Call for Papers - May 2018     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Global University Ranking System: A New Approach by Combining Academic Performance and Web-Based Indicators using Clustering


Volume 7, Issue 4, August 2014, Pages 1330–1337

 Global University Ranking System: A New Approach by Combining Academic Performance and Web-Based Indicators using Clustering

Abbas Fadhil Mohammed Ali AL-Juboori1

1 Department of Computer Science, College of Science, University of Kerbala, Kerbala, Iraq

Original language: English

Received 11 July 2014

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Global university rankings have cemented the notion of a world university market arranged in a single "league table" for comparative purposes and have given a powerful impetus to intranational and international competitive pressures in the sector.
The studies on evaluation of academic productivity and quality and web presence have led to development of new academic fields such as Bibliometrics, Scientometrics, Informetrics and Webometrics.
During the last thirty years, as an outcome of these new emerging academic fields, several university ranking systems have been developed both at national and global level. Although these university ranking systems have attracted attention; they have been criticized due to a number of issues such as inappropriateness of indicators chosen, scoring procedure adopted, weighting, etc. In this study, a combined academic and web performance evaluation and global ranking system has been developed and implemented using data mining. The new global system which processes about more than 5,000 world universities is based on data from non-subjective, reliable and universally accepted online sources. The scoring procedure includes statistical analysis and data has been collected via a tool developed for this purpose to eliminate human errors.


Author Keywords: Ranking, Web performance, Academic performance, League tables, Web.


How to Cite this Article


Abbas Fadhil Mohammed Ali AL-Juboori, “Global University Ranking System: A New Approach by Combining Academic Performance and Web-Based Indicators using Clustering,” International Journal of Innovation and Applied Studies, vol. 7, no. 4, pp. 1330–1337, August 2014.