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亚组发现:最近的生物医学应用

Subgroup Discovery: Recent Biomedical Applications
课程网址: http://videolectures.net/solomon_lavrac_sdrba/  
主讲教师: Nada Lavrač
开课单位: 约瑟夫·斯特凡学院
开课时间: 2008-01-10
课程语种: 英语
中文简介:
本演讲介绍了数据挖掘的最新进展,重点介绍了子组发现以及使用子组发现生成可操作的知识以提供决策支持的方法。可行知识是通常以规则形式表示的明确的象征性知识,它使决策者能够识别出采取适当行动所需的一些重要关系,例如计划旨在检测高疾病风险个体的人群筛查活动。概述了不同的亚组发现方法,并通过医学和功能基因组学的案例研究加以说明。
课程简介: This talk presents recent advances in data mining, focusing on subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explicit symbolic knowledge, typically presented in the form of rules, that allow the decision maker to recognize some important relations needed to perform an appropriate action, such as planning a population screening campaign aimed at detecting individuals with high disease risk. Different subgroup discovery approaches are outlined, illustrated with case studies from medicine and functional genomics.
关 键 词: 数据挖掘; 象征性知识; 高疾病风险
课程来源: 视频讲座网
最后编审: 2019-09-21:cwx
阅读次数: 47