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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

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
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 7 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070737

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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

How to Cite this Article

Elouni, J., Ltifi, H., Ayed, M. B., & Masmoudi, M. (2016). Visual Knowledge Generation from Data Mining Patterns for Decision-Making. International Journal of Advanced Computer Science and Applications, 7(7). https://doi.org/10.14569/IJACSA.2016.070737

Elouni, Jihed, et al.. "Visual Knowledge Generation from Data Mining Patterns for Decision-Making." International Journal of Advanced Computer Science and Applications, vol. 7, no. 7, 2016, https://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},
  volume    = {7},
  number    = {7},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Jihed Elouni and Hela Ltifi and Mounir Ben Ayed and Mohamed Masmoudi},
  doi       = {10.14569/IJACSA.2016.070737},
  url       = {https://doi.org/10.14569/IJACSA.2016.070737}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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