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
Link To Document :
بازگشت