Active and adaptive ensemble learning for online activity recognition from data streams

Bartosz Krawczyk

Abstract: Highlights•Novel ensemble learning algorithm for online activity recognition.•Adaptive and accurate mining of non-stationary sensor data streams.•One-vs-one decomposition with evolving classifiers for multi-class classification.•Adaptive classifier weight calculation scheme.•Active learning module to reduce the labelling cost.