首页    期刊浏览 2024年10月01日 星期二
登录注册

文章基本信息

  • 标题:Relational and Semantic Data Mining for Biomedical Research
  • 本地全文:下载
  • 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
国家哲学社会科学文献中心版权所有