Abstract: The visual data mining based decision support systems had already been recognized in literature. It allows users analysing large information spaces to support complex decision-making. Prior research provides frameworks focused on simply representing extracted patterns. In this paper, we present a new model for visually generating knowledge from these patterns and communicating it for intelligent decision-making. To prove the practicality of the proposed model, it was applied in the medical field to fight against nosocomial infections in the intensive care units.

Jihed Elouni, Hela Ltifi, Mounir Ben Ayed and Mohamed Masmoudi, “Visual Knowledge Generation from Data Mining Patterns for Decision-Making” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070737

@article{Elouni2016,
title = {Visual Knowledge Generation from Data Mining Patterns for Decision-Making},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070737},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070737},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Jihed Elouni and Hela Ltifi and Mounir Ben Ayed and Mohamed Masmoudi}
}