• 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