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Issue:Generalized net model of using data mining techniques for process of undergraduate matriculation in a digital university

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Title of paper: Generalized net model of using data mining techniques for process of undergraduate matriculation in a digital university
Author(s):
Anthony Shannon
Warrane College, University of New South Wales, Kensington, 1465, Australia,
tony@warrane.unsw.edu.au
Evdokia Sotirova
“Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
esotirova@btu.bg
Daniela Orozova
Burgas Free University
orozova@bfu.bg
Presented at: 11th IWGN, Sofia, 5 December 2010
Published in: Conference proceedings, pages 1—6
Download: Download-icon.png PDF (180  Kb, Info)
Abstract: Data mining techniques are used in the area of undergraduate matriculation process in a digital university to better manage applicants recruitment efforts. These techniques determine how likely a particular student matriculate based on their interests, geographic location, and scholastic ability. Predicting allows to focus resources of the university staff to those applicants most likely to attend. The present paper describes the model of the applying data mining tools for the undergraduate matriculation process in a digital university. For the purpose we use Generalized Nets. The opportunity of using GNs as a tool for modelling such process is analyzed as well.
Keywords: Generalized nets, Modelling, Data mining tools, Digital university, E-learning.
References:
  1. Atanassov, K. Generalized nets, World Scientific, Singapore, New Jersey, London 1991.
  2. Atanassov, K. On Generalized Nets Theory, “Prof. M. Drinov”Academic Publishing House, Sofia, 2007.
  3. Orozova, D., E. Sotirova, P. Chountas, Generalized Net Model of the Knowledge Discove-ry in Medical Databses, International Journal BIOautomation, Vol. 13 (4), 2009, 281-288.
  4. Orozova, D., E. Sotirova, Generalized net model of the applying data mining tools, 10th International Workshop on Generalized Nets, IWGN’2009, 22-26.
  5. Shannon, A., D. Orozova, E. Sotirova, M. Hristova, K. Atanassov, M. Krawczak, P. Melo-Pinto, R. Nikolov, S. Sotirov, and T. Kim, Towards a Model of the Digital University: A Generalized Net Model for Producing Course Timetables and for Evaluating the Quality of Subjects, Intelligent Systems: From Theory to Practice, SCI 299, Springer-Verlag Berlin Heidelberg 2010, 373–381
  6. Shannon, A., K. Atanassov, E. Sotirova, D. Langova-Orozova, M. Krawczak, P. Melo-Pinto, I. Petrounias, T. Kim, Generalized Nets and Information Flow Within a University, Warszawa, 2007.
  7. Shannon, A., K. Atanassov, E. Sotirova, D. Langova-Orozova, M. Krawczak, P. Melo-Pinto, I. Petrounias, T. Kim, Generalized Net Modelling of University Processes. KvB Visual Concepts Pty Ltd, Monograph No.7, Sydney, 2005.
  8. Shannon, A., D. Orozova, E. Sotirova, K. Atanassov, M. Krawczak, P. Melo-Pinto, R. Nikolov, S. Sotirov, T. Kim, Towards a Model of the Digital University: A Generalized Net Model for Producing Course Timetables, IEEE Conference Intelligent Systems
  9. Sotirova, E., K. Dimitrova, R. Papancheva, A Generalized Net Model for Analysis of Students Evaluations by Data Mining Techniques in the Digital University, 10th International Workshop on Generalized Nets, IWGN’2009, 41-46.
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