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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Visual Knowledge Generation from Data Mining Patterns for Decision-Making

Author 1: Jihed Elouni
Author 2: Hela Ltifi
Author 3: Mounir Ben Ayed
Author 4: Mohamed Masmoudi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070737

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.

  • Abstract and Keywords
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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.

Keywords: Knowledge; patterns; visualization; data mining; Decision Support Systems

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}
}


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