An Intelligent Agent based Architecture for Visual Data Mining
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
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.
Authors and Affiliations
Hamdi Ellouzi, Hela Ltifi, Mounir Ayed
Keywords
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- EP ID EP133629
- DOI 10.14569/IJACSA.2016.070721
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