Skip to main content
Top

2017 | OriginalPaper | Chapter

Using Data Mining and Business Intelligence to Develop Decision Support Systems in Arabic Higher Education Institutions

Authors : Mohamad Hamed, Tariq Mahmoud, Jorge Marx Gómez, Georges Kfouri

Published in: Modernizing Academic Teaching and Research in Business and Economics

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The most academic institutions in Arabic countries depend on the centralized or decentralized information systems, operating independently from each other, the decision-makers rely on these systems in generation of the periodic and routine reports, that assist them in building the right decisions and proper responses to the changes in a timely manner.
The data volume in these institutions have become enormous, after applying these systems for several years, the lack of interconnection between different systems caused difficulties to decision-makers in processing such large amounts of data and get an integrated and useful information that reflects the current situation of the institution.
This paper aims at applying data mining and business intelligence concepts in order to address academic problems, specially the problems that related to students and academic advisors in the Arabic academic institutions. Thus this paper truly contributes to the development of academic quality.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Erdoğan, Ş. Z., & Timor, M. (2005). A data mining application in a student database. Journal of Aeronautics and Space Technologies, 2(2), 53–57. Erdoğan, Ş. Z., & Timor, M. (2005). A data mining application in a student database. Journal of Aeronautics and Space Technologies, 2(2), 53–57.
2.
go back to reference Bresfelean, V. P., Ghisoiu, N., & Others. (2009). Higher education decision making and decision support systems. WSEAS Transactions on Advances in Engineering Education, 2, 43–52. Bresfelean, V. P., Ghisoiu, N., & Others. (2009). Higher education decision making and decision support systems. WSEAS Transactions on Advances in Engineering Education, 2, 43–52.
3.
go back to reference Beikzadeh, M. R., & Delavari, N. (2005). A new analysis model for data mining processes in higher educational systems. Proceedings of 6th Information Technology Based Higher Education Training (pp. 7–9). Beikzadeh, M. R., & Delavari, N. (2005). A new analysis model for data mining processes in higher educational systems. Proceedings of 6th Information Technology Based Higher Education Training (pp. 7–9).
4.
go back to reference Delavari, N., Phon-Amnuaisuk, S., & Beikzadeh, M. R. (2008). Data mining application in higher learning institutions. International Journal of Information and Education, 7, 31–54. Delavari, N., Phon-Amnuaisuk, S., & Beikzadeh, M. R. (2008). Data mining application in higher learning institutions. International Journal of Information and Education, 7, 31–54.
5.
go back to reference Luan, J. (2002). Data mining applications in higher education. New Dir. Institutional Research, 2002(113), 17–36.CrossRef Luan, J. (2002). Data mining applications in higher education. New Dir. Institutional Research, 2002(113), 17–36.CrossRef
6.
go back to reference Baepler, P., & Murdoch, C. J. (2010). Academic analytics and data mining in higher education. International Journal for the Scholarship of Teaching and Learning, 4(2), 17.CrossRef Baepler, P., & Murdoch, C. J. (2010). Academic analytics and data mining in higher education. International Journal for the Scholarship of Teaching and Learning, 4(2), 17.CrossRef
7.
go back to reference Luan, J. (2002). Data mining and knowledge management in higher education-potential applications. Paper presented at the Annual Forum for the association, for Institutional Research (42nd, Toronto, Ontario, Canada, June 2–5, 2002). Luan, J. (2002). Data mining and knowledge management in higher education-potential applications. Paper presented at the Annual Forum for the association, for Institutional Research (42nd, Toronto, Ontario, Canada, June 2–5, 2002).
8.
go back to reference Lynch, C. A. (2003). Institutional repositories: Essential infrastructure for scholarship in the digital age. Portal: Libraries and the Academy, 3(2), 327–336.CrossRef Lynch, C. A. (2003). Institutional repositories: Essential infrastructure for scholarship in the digital age. Portal: Libraries and the Academy, 3(2), 327–336.CrossRef
9.
go back to reference Heywood, J. (2000). Assessment in higher education: Student learning, teaching, programmes and institutions (Vol. 56). London: Jessica Kingsley Publishers. Heywood, J. (2000). Assessment in higher education: Student learning, teaching, programmes and institutions (Vol. 56). London: Jessica Kingsley Publishers.
10.
go back to reference Kobsa, A. (2001). Generic user modeling systems, user modeling and user-adaptived interaction. Dordrecht: Kluwer Academic Publishers. Kobsa, A. (2001). Generic user modeling systems, user modeling and user-adaptived interaction. Dordrecht: Kluwer Academic Publishers.
11.
go back to reference Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in education. International Journal of Medical Education, 5(1), 7–74. Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in education. International Journal of Medical Education, 5(1), 7–74.
12.
go back to reference Köck, M., & Paramythis, A. (2011). Activity sequence modelling and dynamic clustering for personalized E-learning. User Modeling and User-Adapted Interaction, 21(1–2), 51–97.CrossRef Köck, M., & Paramythis, A. (2011). Activity sequence modelling and dynamic clustering for personalized E-learning. User Modeling and User-Adapted Interaction, 21(1–2), 51–97.CrossRef
13.
go back to reference Vanlehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R., Taylor, L., et al. (2005). The Andes physics tutoring system: Lessons learned. International Journal of Artificial Intelligence Education, 15(3), 147–204. Vanlehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R., Taylor, L., et al. (2005). The Andes physics tutoring system: Lessons learned. International Journal of Artificial Intelligence Education, 15(3), 147–204.
14.
go back to reference Vercellis, C. (2009). Business intelligence: Data mining and optimization for decision making (1st ed.). New Jersey: Wiley.CrossRef Vercellis, C. (2009). Business intelligence: Data mining and optimization for decision making (1st ed.). New Jersey: Wiley.CrossRef
15.
go back to reference Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273–297. Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273–297.
Metadata
Title
Using Data Mining and Business Intelligence to Develop Decision Support Systems in Arabic Higher Education Institutions
Authors
Mohamad Hamed
Tariq Mahmoud
Jorge Marx Gómez
Georges Kfouri
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-54419-9_4