Fabrício Enembreck

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.