Author

J. P. Barddal

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Open access Aug 2026

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

These models combine the periodic splitting strategy of Hoeffding Trees, which fosters ensemble diversity, with adaptive splitting mechanisms that employ change detection algorithms to identify performance decay and determine split points.

Daniel Nowak Assis, J. P. Barddal, Fabrício Enembreck · Data mining and knowledge di... · 0 citations

#machine learning Preprint Sep 2026

Concept Drift from a Causal Perspective

This work proposes a taxonomy that categorizes drift events by their causal origin, including changes in exogenous variables, endogenous mechanisms, confounders, and target-generating processes, and develops an SCM-based data stream generator that simulates controlled mechanism-level drift events.

Eduardo V. L. Barboza, J. P. Barddal, R. Sabourin et al. · 0 citations