Abstract: the aim of this paper is to present an intelligent architecture of Decision Support System (DSS) based on visual data mining. This architecture applies the multi-agent technology to facilitate the design and development of DSS in complex and dynamic environment. Multi-Agent Systems add a high level of abstraction. To validate the proposed architecture, it is implemented to develop a distributed visual data mining based DSS to predict nosocomial infectionsoccurrence in intensive care units. The developed prototype was evaluated to verify the architecture practicability.

Hamdi Ellouzi, Hela Ltifi and Mounir Ben Ayed, “An Intelligent Agent based Architecture for Visual Data Mining” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070721

@article{Ellouzi2016,
title = {An Intelligent Agent based Architecture for Visual Data Mining},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070721},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070721},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Hamdi Ellouzi and Hela Ltifi and Mounir Ben Ayed}
}