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  Constructing conjunctive tests for decision trees (1992) [9 citations — 6 self]

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by Zijian Zheng
Proceedings of the Fifth Australian Joint Conference on Artificial Intelligence, Singapore: World Scientific
ftp://ftp.cs.su.oz.au/zijian/ai92.ps.Z
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Abstract:

ABSTRACT: This paper discusses an approach of constructing new attributes based on decision trees and production rules. It can improve the concepts learned in the form of decision trees by simplifying them and improving their predictive accuracy. In addition, this approach can distinguish relevant primitive attributes from irrelevant primitive attributes. 1.

Citations

2489 Induction of Decision Trees – Quinlan - 1986
2438 Classification and Regression Trees – Breiman, Friedman, et al. - 1984
191 Boolean feature discovery in empirical learning – Pagallo, Haussler - 1990
125 Generating production rules from decision trees – Quinlan - 1987
82 Constructive Induction on Decision Trees – Matheus, Rendell - 1989
54 Id2-of-3: Constructive induction of m-of-n concepts for discriminators in decision trees – Murphy, Pazzani - 1991
25 Adaptive Decision Tree Algorithms for Learning From Examples – Pagallo - 1990
16 A scheme for feature construction and a comparison of empirical methods – YANG, RENDELL, et al. - 1991