Feature Selection for Handling Concept Drift in the Data Stream Classification.
Pavel A. TurkovOlga KrasotkinaVadim MottlAlexey SychugovPublished in: MLDM (2016)
Keyphrases
- data stream classification
- concept drift
- feature selection
- data streams
- ensemble classifier
- drifting concepts
- streaming data
- drift detection
- data distribution
- non stationary
- classification algorithm
- text categorization
- data stream mining
- change detection
- text classification
- feature extraction
- feature set
- incremental learning
- knn
- feature space
- machine learning
- database
- dimensionality reduction
- support vector machine
- classification accuracy
- multi dimensional
- prior knowledge
- pattern mining
- feature vectors
- support vector
- bayesian networks
- clustering algorithm
- image processing
- neural network