Handling concept drift in medical applications: Importance, challenges and solutions.
Mykola PechenizkiyIndre ZliobaitePublished in: CBMS (2010)
Keyphrases
- concept drift
- data streams
- data stream mining
- streaming data
- drift detection
- drifting concepts
- classification algorithm
- non stationary
- data distribution
- change detection
- incremental clustering
- evolving data streams
- data sets
- target concept
- stream data
- batch learning
- data stream classification
- ensemble classifier
- dimensionality reduction
- image analysis
- pairwise
- pattern recognition
- bayesian networks
- decision trees
- learning algorithm