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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(1): 15-19 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.828

How Data Mining Techniques Can Improve Simulation Studies

Manel Saad Saoud, Abdelhak Boubetra, and Safa Attia
Abstract—Researchers take years and even decades of observation in order to analyze socio-economic phenomenon. Whereas the agent-based modeling simulation (ABMS) provides a new issue by offering the possibility to create virtual societies in which individuals and organizations are directly represented with their observed interactions. As it is known simulation generates and consumes a large amount of data. The analysis of these data which may contain implicit and hidden information will always remain a very difficult phase in the ABMS. As a solution to this problematic, the use of data mining techniques can contribute to the right analysis of the phenomena that emerges in these systems. In this paper we aim the investigation of agent-based modeling simulation and data mining techniques.

Index Terms—Agent-based modeling and simulation, data mining, analysis behaviors, emergence.

The authors are with the Department of Computer Science, University of Bordj Bou Arreridj, Algeria (e-mail: m.saadsaoud@univ-bba.dz, a.boubetra@univ-bba.dz, s.attia@univ-bba.dz).


Cite:Manel Saad Saoud, Abdelhak Boubetra, and Safa Attia, "How Data Mining Techniques Can Improve Simulation Studies," International Journal of Computer Theory and Engineering vol. 6, no. 1, pp. 15-19, 2014.

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