DocumentCode :
1557166
Title :
A survey of decision tree classifier methodology
Author :
Landgrebe, D.
Volume :
21
Issue :
3
fYear :
1991
Firstpage :
660
Lastpage :
674
Abstract :
A survey is presented of current methods for decision tree classifier (DTC) designs and the various existing issues. After considering potential advantages of DTCs over single-state classifiers, the subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed. The relation between decision trees and neutral networks (NN) is also discussed
Keywords :
decision theory; neural nets; pattern recognition; search problems; trees (mathematics); decision tree classifier; feature selection; neutral networks; node; pattern recognition; search strategies; tree structure; Classification tree analysis; Decision trees; Integrated circuit testing; Performance analysis; System testing; Training data;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.97458
Filename :
97458
Link To Document :
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