Mining tensor data
Structured Output Prediction on Data Streams
Mining streaming data and networks
Multi-label learning from batch and streaming data
Prototype-based Learning on Concept-drifting Data Streams
New Ensemble Methods for Evolving Data Streams
Efficient Mini-batch Training for Stochastic Optimization
Architectures for distributed mining of big data
Provenance Management for Evolving RDF Datasets
Active learning with evolving streaming data