Incremental Weighted Naive Bays Classifiers for Data Stream.
Christophe SalperwyckVincent LemaireCarine HuePublished in: ECDA (2013)
Keyphrases
- data streams
- mining concept drifting data streams
- data stream classification
- incremental learning
- majority vote
- sliding window
- ensemble classifier
- k nearest neighbour
- concept drift
- streaming data
- concept drifting
- change detection
- support vector
- stream data
- training data
- decision trees
- classification algorithm
- augmented naive bayes
- continuous data streams
- classification models
- test set
- multiple classifiers
- training examples
- training set
- feature set
- linear classifiers
- supervised classification
- machine learning algorithms
- svm classifier
- classifier ensemble
- non stationary
- naive bayes
- majority voting
- training samples
- class labels
- high speed data streams
- distributed data streams
- outlier detection