Providing theoretical guarantees to the detection of concept drift in data streams
An approach based on the stability of clustering algorithms to ensure concept drif...
Unsupervised Context Detection of Streaming Data For Classification
Classification of non-stationary data stream with application in sensors for insec...
Data stream classification in the presence of concept drifts using non-supervised ...
Novelty detection in multi-label data streams classification
Ensemble of classifiers for novelty detection in multi-label data streams