• DocumentCode
    1446442
  • Title

    Decision trees and decision-making

  • Author

    Quinlan, J.R.

  • Author_Institution
    Basser Dept. of Comput. Sci., Sydney Univ., NSW, Australia
  • Volume
    20
  • Issue
    2
  • fYear
    1990
  • Firstpage
    339
  • Lastpage
    346
  • Abstract
    Various practical systems capable of extracting descriptive decision-making knowledge from data have been developed and evaluated. Techniques that represent knowledge about classified tasks in the form of decision trees are examined. A sample of techniques is sketched, ranging from basic methods of constructing decision trees to ways of using them noncategorically. Some characteristics that suggest whether a particular classification task is likely to be amenable or not to tree-based methods are discussed
  • Keywords
    decision theory; knowledge representation; learning systems; trees (mathematics); decision trees; descriptive decision-making; knowledge representation; learning systems; Artificial intelligence; Classification tree analysis; Data mining; Decision making; Decision trees; Extrapolation; Learning systems; Rain; Statistics; Surgery;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.52545
  • Filename
    52545