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 :
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