DocumentCode
3648078
Title
Advances in Data Mining for Biomedical Research
Author
Nada Lavrač
Author_Institution
Jož
fYear
2012
fDate
6/1/2012 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
This CBMS-2012 keynote first outlines standard approaches to data mining, with the emphasis on subgroup discovery which proves to be an effective tool for data analysis in biomedical applications. The core of this paper is devoted to inductive logic programming and relational data mining which also have a great potential for biomedical research, with a focus on recently developed approaches to semantic data mining which enable the use of domain ontologies as background knowledge in data analysis. The use of described techniques and tools is illustrated on selected biomedical applications.
Keywords
"Data mining","Semantics","Cancer","Data analysis","Logic programming","Ontologies","Bioinformatics"
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on
ISSN
1063-7125
Print_ISBN
978-1-4673-2049-8
Type
conf
DOI
10.1109/CBMS.2012.6266291
Filename
6266291
Link To Document