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