Concept learning using one-class classifiers for implicit drift detection in evolving data streams.

Ömer Gözüaçik Fazli Can

Published in: Artif. Intell. Rev. (2021)

Keyphrases

concept learning
evolving data streams
concept drift
drift detection
data streams
streaming data
non stationary
data distribution
change detection
data stream mining
classification algorithm
stream data
inductive logic programming
stream mining
remote sensing
sliding window
text classification
data sets