Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift.
Rocío Alaíz-RodríguezAlicia Guerrero-CuriesesJesús Cid-SueiroPublished in: Neurocomputing (2011)
Keyphrases
- concept drift
- classification algorithm
- ensemble classifier
- ensemble learning
- class labels
- data streams
- drifting concepts
- drift detection
- streaming data
- change detection
- target concept
- training data
- data distribution
- data stream mining
- data stream classification
- class distribution
- incremental clustering
- non stationary
- evolving data streams
- class imbalance
- computer vision
- decision trees
- data sets
- machine learning
- classifier ensemble
- feature selection
- similarity measure
- feature space
- feature vectors
- support vector machine
- database