DocumentCode :
1124316
Title :
Comments on ``An Automated Approach to the Design of Decision Tree Classifiers´´
Author :
Kim, Baek S. ; Park, Song B.
Author_Institution :
Department of Electrical Engineering, KAIST, P.O. Box 131, Cheongryang, Seoul, Korea.
Issue :
4
fYear :
1986
fDate :
7/1/1986 12:00:00 AM
Firstpage :
560
Lastpage :
560
Abstract :
The above paper1 provides an automated technique for decision tree design which relies only on a priori statistics. The technique is basically to find a partition of the class set which maximizes the probability of correct classification at a given decision node. To do so, in the above paper1 all the possible partitions are searched exhaustively. In the present comment it is pointed out that the search for the partitions with a size of two is sufficient, and the higher order of partitions need not be searched.
Keywords :
Binary trees; Classification tree analysis; Decision trees; Design methodology; Equations; Pattern recognition; Probability; Statistics; Automated decision tree design; pattern recognition; table look-up classifier;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1986.4767824
Filename :
4767824
Link To Document :
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