Maintaining the performance of a learned classifier under concept drift.
Michaela M. BlackRay J. HickeyPublished in: Intell. Data Anal. (1999)
Keyphrases
- concept drift
- classification algorithm
- ensemble classifier
- ensemble learning
- data streams
- streaming data
- drift detection
- drifting concepts
- change detection
- non stationary
- training data
- k nearest neighbor
- data stream classification
- incremental clustering
- batch learning
- knn
- class labels
- image processing
- concept descriptions
- data stream mining
- evolving data streams
- data distribution
- decision trees
- classifier ensemble
- support vector
- feature set
- support vector machine
- feature space
- training set
- class imbalance
- data analysis
- data structure
- pairwise
- data sets
- naive bayes
- description logics
- high resolution