• DocumentCode
    3860829
  • Title

    Feature transformation by function decomposition

  • Author

    B. Zupan;M. Bohanec;J. Demsar;I. Bratko

  • Author_Institution
    Jozef Stefan Inst., Ljubljana Univ., Slovenia
  • Volume
    13
  • Issue
    2
  • fYear
    1998
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    The function decomposition described can identify subsets of existing features and discover nongiven functions that map these subsets to a new feature, also, it can organize the existing and new features into a hierarchy. The authors demonstrate their Hierarchy Induction Tool (HINT) system on a housing loan-allocation application. Methods for switching circuit design often implicitly deal with feature transformation. Such methods construct a circuit to implement a given or partially given tabulated Boolean function. The authors´ function-decomposition method can discover and construct a hierarchy of new features that one can add to the original dataset or transform into a hierarchy of less complex datasets. The method allows the decomposition to deal with nominal-feature (that is, not necessarily binary) functions.
  • Keywords
    "Matrix decomposition","Intelligent systems"
  • Journal_Title
    IEEE Intelligent Systems and their Applications
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.671090
  • Filename
    671090