Evaluating k-NN in the Classification of Data Streams with Concept Drift.
Roberto Souto Maior de BarrosSilas Garrido Teixeira de Carvalho SantosJean Paul BarddalPublished in: CoRR (2022)
Keyphrases
- concept drift
- knn
- classification algorithm
- k nearest neighbor
- data streams
- data stream classification
- k nearest neighbour
- streaming data
- nearest neighbor
- drifting concepts
- class imbalance
- ensemble classifier
- drift detection
- document classification
- stream data
- text classification
- evolving data streams
- text categorization
- concept drifting data streams
- data stream mining
- web document classification
- support vector machine
- pattern recognition
- class distribution
- non stationary
- data distribution
- change detection
- nearest neighbour
- ensemble learning
- nearest neighbor algorithm
- feature space
- feature selection
- data mining
- sliding window
- k nearest
- incremental learning
- prediction accuracy
- high dimensional data
- unsupervised learning
- feature set
- voting methods
- feature extraction
- machine learning