An eager splitting strategy for online decision trees in ensembles

DOI10.1007/S10618-021-00816-XzbMath1494.68224arXiv2010.10935OpenAlexW4205684636MaRDI QIDQ2134037

Heitor M. Gomes, Geoffrey I. Webb, Mahsa Salehi, Chaitanya Manapragada, Albert Bifet

Publication date: 5 May 2022

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.10935

zbMATH Keywords

concept driftexplainabilityHoeffding tree

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Online algorithms; streaming algorithms (68W27)

Uses Software

• UCI-ml
• C4.5
• RainForest

Cites Work

• Unnamed Item
• Bagging predictors
• Characterizing concept drift
• 10.1162/153244304773936072
• Encyclopedia of Machine Learning and Data Mining
• Probability Inequalities for Sums of Bounded Random Variables

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