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Decision Tree and Ensemble Learning Based on Ant Colony Optimization pp 29–44Cite as

Evolutionary Computing Techniques in Data Mining

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 781))

Abstract

In this chapter we present some concepts pertaining to a hybrid approach to classification and clustering. Hybridization amounts to combining standard algorithms, such as those generating decision rules and decision trees, with nonstandard ones, e.g., those based on ant colony optimization (ACO) concepts.

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  1. Faculty of Informatics and Communication, Department of Knowledge Engineering, University of Economics in Katowice, Katowice, Poland

    Jan Kozak

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Kozak, J. (2019). Evolutionary Computing Techniques in Data Mining. In: Decision Tree and Ensemble Learning Based on Ant Colony Optimization. Studies in Computational Intelligence, vol 781. Springer, Cham. https://doi.org/10.1007/978-3-319-93752-6_2

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