University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Engineering
  • Computing and Information Systems
  • Computing and Information Systems - Research Publications
  • View Item
  • Minerva Access
  • Engineering
  • Computing and Information Systems
  • Computing and Information Systems - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data

    Thumbnail
    Citations
    Scopus
    Altmetric
    14
    Author
    Hossain, MM; Hassan, MR; Bailey, J
    Date
    2008-01-01
    Source Title
    Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130
    Publisher
    Society for Industrial and Applied Mathematics
    University of Melbourne Author/s
    HOSSAIN, MOHAMMAD MARUF; Bailey, James; HASSAN, MD RAFIUL
    Affiliation
    Computer Science and Software Engineering
    Metadata
    Show full item record
    Document Type
    Conference Paper
    Citations
    Hossain, M. M., Hassan, M. R. & Bailey, J. (2008). ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data. Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130, 2, pp.455-465. Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611972788.41.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/29362
    DOI
    10.1137/1.9781611972788.41
    Keywords
    Artificial Intelligence and Image Processing

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45689]
    • Computing and Information Systems - Research Publications [1454]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors