Affiliations: [a] REsearch Groups on Intelligent Machines, National School of Engineers, University of Sfax, Sfax, Tunisia | [b] REGIM and the Computer Sciences and Mathematics Department, Faculty of Sciences and Techniques of Sidi Bouzid, University of Kairouan, Kairouan, Tunisia | [c] REGIM and the Computer Sciences and Communication Department, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia
Correspondence:
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Corresponding author: Hamdi Ellouzi, REsearch Groups on Intelligent Machines (REGIM), National School of Engineers (ENIS), University of Sfax, Sfax, Tunisia. E-mail:hamdi.ellouzi@ieee.org
Abstract: This research aims to provide quality of intelligent
decision support in dynamic situations. The collected data can be combined
and analysed using the knowledge discovery technology. Integrating
visualization and data mining into a dynamic decision support is a promising
approach. This paper presents a theoretical framework for multi-agent based
decision support using visualization and data mining. Agent technology
represents a significant solution to optimize the knowledge management. The
proposed architecture is implemented for the nosocomial infections
surveillance in the hospital intensive care units. The research studies
conceptual and practical implications of the proposed visual intelligent
system modelling.
Keywords: Decision support systems, data mining, visualization, multi-agent system
