Research on detection and integration classification based on concept drift of data stream.
Baoju ZhangYidi ChenPublished in: EURASIP J. Wirel. Commun. Netw. (2019)
Keyphrases
- concept drift
- data stream classification
- data streams
- classification algorithm
- novelty detection
- change detection
- streaming data
- concept drifting data streams
- drift detection
- ensemble classifier
- drifting concepts
- data stream mining
- non stationary
- stream data
- data distribution
- mining data streams
- evolving data streams
- sliding window
- classification accuracy
- support vector machine
- incremental learning
- batch learning
- missing values
- text classification
- high speed data streams
- pattern recognition
- support vector
- feature extraction
- machine learning
- stream mining
- noisy data streams
- remote sensing
- class labels
- anomaly detection
- knn
- feature vectors
- pairwise
- training set
- bayesian networks
- training data
- decision trees