Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm
Zeng Li,Wenchao Huang,2 Authors,Tuanfei Zhu
2020 · DOI: 10.1016/j.knosys.2020.105694
Knowledge-Based Systems · 68 Citations
TLDR
A chunk-based incremental ensemble algorithm called Dynamic Updated Ensemble (DUE) for learning imbalanced data streams with concept drift, which can timely react to multiple kinds of concept drifts and keep a limited number of classifiers to ensure high efficiency.