Journal Article10.1109/21.97458
A survey of decision tree classifier methodology
S.R. Safavian,David A. Landgrebe +1 more
- 01 Jun 1991
- Vol. 21, Iss: 3, pp 660-674
TL;DR: The subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed, and the relation between decision trees and neutral networks (NN) is also discussed.
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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. >
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References
•Book
Classification and regression trees
Leo Breiman
- 01 Jan 1983
TL;DR: The methodology used to construct tree structured rules is the focus of a monograph as mentioned in this paper, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
22.7K
Induction of Decision Trees
TL;DR: In this paper, an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, is described, and a reported shortcoming of the basic algorithm is discussed.
Pattern Classification and Scene Analysis
TL;DR: We provide a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition.
12.5K
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