Multi-agent modelling of decision support systems based on visual data mining

被引：9

作者：

Ellouzi, Hamdi ^{[1
]}

Ltifi, Hela ^{[2
]}

Ayed, Mounir Ben ^{[3
]}

机构：

[1] REsearch Groups on Intelligent Machines, National School of Engineers, University of Sfax, Sfax, Tunisia

[2] REGIM, Computer Sciences and Mathematics Department, Faculty of Sciences and Techniques of Sidi Bouzid, University of Kairouan, Kairouan, Tunisia

[3] REGIM, Computer Sciences and Communication Department, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia

来源：

Multiagent and Grid Systems | 2017年 / 13卷 / 01期

关键词：

Data visualization - Multi agent systems - Intelligent agents - Data mining - Intelligent systems - Knowledge management - Intensive care units - Visualization;

D O I：

10.3233/MGS-170260

中图分类号：

学科分类号：

摘要：

This research aims to provide quality of intelligent decision support in dynamic situations. The collected data can be combined and analysed using the knowledge discovery technology. Integrating visualization and data mining into a dynamic decision support is a promising approach. This paper presents a theoretical framework for multi-agent based decision support using visualization and data mining. Agent technology represents a significant solution to optimize the knowledge management. The proposed architecture is implemented for the nosocomial infections surveillance in the hospital intensive care units. The research studies conceptual and practical implications of the proposed visual intelligent system modelling. © 2017-IOS Press and the authors. All rights reserved.

引用

页码：31 / 45