An Intelligent Agent based Architecture for Visual Data Mining

Abstract

the aim of this paper is to present an intelligent architecture of Decision Support System (DSS) based onvisual data mining. This architecture aplies 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 DSSto predictnosocomial infectionsoccurrence in intensive care units. The developed prototype was evaluated to verify the architecture practicability.