基于KDD的决策支持系统可视化表示的评价方法

Awatef Brahmi, Hela Ltifi, Mounir Ben Ayed
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引用次数: 1

摘要

由于时间数据的不断增长,数据的分析和挖掘变得越来越困难;尤其是在医学领域。因此,利用基于数据中的知识发现(Knowledge Discovery in Data, KDD)和可视化技术的决策支持系统(Decision Support System, DSS)来帮助用户获取和理解信息显得尤为重要。我们的研究是基于现有的基于KDD的对抗医院感染的DSS的视觉表示。在本文中,我们有兴趣提出一种方法,重点关注该系统的用户评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approach for the evaluation of a KDD based DSS visual representations
Due to the progressing growth of temporal data, data analysis and exploration become more and more difficult task; particularly in the medical domain. For this reason, it seems important to use Decision Support System (DSS) based on the decisional tool Knowledge Discovery in Data (KDD) and the visualization techniques for assisting user to get and understand information. Our research is based on the visual representations of an existing KDD based DSS for the fight against nosocomial infections. In this paper, we are interested in proposing a method, focusing on the user evaluation of this system.
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