Fabrício Enembreck

Hoeffding adaptive splitting trees for data stream classification with concept drift and ensemble learning

Abstract Ensembles of decision trees are well-established methods for data stream classification. In ensemble learning, Hoeffding Trees are widely adopted as base learners, performing periodic split attempts according to the Hoeffding bound. Recent studies, however, indicate that...