Visual Knowledge Generation from Data Mining Patterns for Decision-Making

被引：0
|
作者：
Elouni, Jihed [1 ]
Ltifi, Hela [2 ]
Ben Ayed, Mounir [2 ]
Masmoudi, Mohamed [1 ]
机构：
[1] Univ Sfax, Natl Sch Engineers ENIS, METS Micro Electro Thermal Syst, Sfax, Tunisia
[2] Univ Sfax, Natl Sch Engineers ENIS, REGIM Res Grp Intelligent Machines, Sfax, Tunisia
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2016年 / 7卷 / 07期
关键词：
Knowledge; patterns; visualization; data mining; Decision Support Systems;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：265 / 272
页数：8
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