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

页码：265 / 272

页数：8

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