A Survey of Decision Tree Classifier Methodology

SR SAFAVIAN,D LANDGREBE

IEEE Transactions on Systems, Man, and Cybernetics（1991）

PURDUE UNIV

被引用5470|浏览23

摘要

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. >

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关键词

decision theory,neural nets,pattern recognition,search problems,trees (mathematics),decision tree classifier,feature selection,neutral networks,node,pattern recognition,search strategies,tree structure