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Published in:
2012 | OriginalPaper | Chapter
Ant Colony Decision Forest Meta-ensemble
Authors : Urszula Boryczka, Jan Kozak
Published in: Computational Collective Intelligence. Technologies and Applications
Publisher: Springer Berlin Heidelberg
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This paper is devoted to the study of an extension of Ant Colony Decision Tree (ACDT) approach to Random Forests (RF) – an arisen meta-ensemble technique called Ant Colony Decision Forest (ACDF). To the best of our knowledge this is the first time that Ant Colony Optimization is being applied as an ensemble method in data mining tasks. Meta-ensemble ACDF as a hybrid RF and ACO based algorithm is evolved and experimentally shown high accuracy and good effectiveness of this technique motivate us to further development.