Title :
Decision trees and decision-making
Author_Institution :
Basser Dept. of Comput. Sci., Sydney Univ., NSW, Australia
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;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on