文章基本信息

标题：Relational and Semantic Data Mining for Biomedical Research
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作者：Nada Lavrač ; Petra Kralj Novak
期刊名称：Informatica
印刷版ISSN：1514-8327
电子版ISSN：1854-3871
出版年度：2013
卷号：37
期号：1
出版社：The Slovene Society Informatika, Ljubljana
摘要：The paper presents a historical overview of data mining tools and applications in the field of biomed- ical research, developed at the Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia. It first outlines subgroup discovery and selected relational data mining approaches, with the emphasis on propositionalization and relational subgroup discovery, which prove to be effective for data analysis in biomedical applications. The core of this paper describes recently developed approaches to semantic data mining which enable the use of domain ontologies as background knowledge in data anal- ysis. The use of the described tools is illustrated on selected biomedical applications.
关键词：relational data mining; semantic data mining; biomedicine