Hoeffding adaptive trees for multi-label classification on data streams

Aurora Esteban, Alberto Cano, Amelia Zafra +1

Data stream learning is a very relevant paradigm because of the increasing real-world scenarios generating data at high velocities and in unbounded sequences. Stream learning aims…