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A Survey of Evolutionary Algorithms for Decision-Tree Induction.
- Source :
-
IEEE Transactions on Systems, Man & Cybernetics: Part C - Applications & Reviews . May2012, Vol. 42 Issue 3, p291-312. 22p. - Publication Year :
- 2012
-
Abstract
- This paper presents a survey of evolutionary algorithms that are designed for decision-tree induction. In this context, most of the paper focuses on approaches that evolve decision trees as an alternate heuristics to the traditional top-down divide-and-conquer approach. Additionally, we present some alternative methods that make use of evolutionary algorithms to improve particular components of decision-tree classifiers. The paper’s original contributions are the following. First, it provides an up-to-date overview that is fully focused on evolutionary algorithms and decision trees and does not concentrate on any specific evolutionary approach. Second, it provides a taxonomy, which addresses works that evolve decision trees and works that design decision-tree components by the use of evolutionary algorithms. Finally, a number of references are provided that describe applications of evolutionary algorithms for decision-tree induction in different domains. At the end of this paper, we address some important issues and open questions that can be the subject of future research. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10946977
- Volume :
- 42
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics: Part C - Applications & Reviews
- Publication Type :
- Academic Journal
- Accession number :
- 74406324
- Full Text :
- https://doi.org/10.1109/TSMCC.2011.2157494