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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 |

An Intelligent Agent based Architecture for Visual Data Mining

Author 1: Hamdi Ellouzi Author 2: Hela Ltifi Author 3: Mounir Ben Ayed
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 7 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070721

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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.

Keywords

Multi Agent System Decision Support System Visualization Knowledge Discovery from Data Nosocomial Infection

How to Cite this Article

Ellouzi, H., Ltifi, H., & Ayed, M. B. (2016). An Intelligent Agent based Architecture for Visual Data Mining. International Journal of Advanced Computer Science and Applications, 7(7). https://doi.org/10.14569/IJACSA.2016.070721

Ellouzi, Hamdi, et al.. "An Intelligent Agent based Architecture for Visual Data Mining." International Journal of Advanced Computer Science and Applications, vol. 7, no. 7, 2016, https://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},
  volume    = {7},
  number    = {7},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Hamdi Ellouzi and Hela Ltifi and Mounir Ben Ayed},
  doi       = {10.14569/IJACSA.2016.070721},
  url       = {https://doi.org/10.14569/IJACSA.2016.070721}
}

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