Combining active learning with concept drift detection for data stream mining.

Bartosz Krawczyk Bernhard Pfahringer Michal Wozniak

Published in: IEEE BigData (2018)

Keyphrases

concept drift
data stream mining
drift detection
active learning
data streams
streaming data
stream data
stream mining
classification algorithm
non stationary
data distribution
change detection
semi supervised
data sets
itemsets
classification accuracy
database systems
clustering algorithm
learning algorithm