Handling Concept Drifts Using Dynamic Selection of Classifiers.
Paulo Ricardo Lisboa de AlmeidaLuiz S. OliveiraAlceu de Souza Britto Jr.Robert SabourinPublished in: ICTAI (2016)
Keyphrases
- concept drift
- data stream classification
- ensemble classifier
- concept drifting data streams
- classification algorithm
- mining data streams
- ensemble learning
- data streams
- ensemble classification
- drifting concepts
- streaming data
- classifier ensemble
- drift detection
- data stream mining
- change detection
- non stationary
- naive bayes
- data distribution
- class labels
- feature selection
- k nearest neighbor
- incremental learning
- support vector machine
- knn
- concept drifting
- incremental clustering
- decision trees
- feature extraction
- training set
- multiple classifier systems
- stream data
- neural network
- image analysis
- classification models
- evolving data streams
- data structure
- training data
- classification accuracy
- missing values