Adaptive online learning for classification under concept drift.
Kanu GoelShalini BatraPublished in: Int. J. Comput. Sci. Eng. (2021)
Keyphrases
- concept drift
- online learning
- classification algorithm
- data stream classification
- ensemble classifier
- data streams
- novelty detection
- class imbalance
- decision trees
- classification accuracy
- concept drifting data streams
- class labels
- supervised learning
- data distribution
- labelled data
- drifting concepts
- machine learning
- pattern recognition
- support vector
- non stationary
- incremental learning
- change detection
- incremental clustering
- support vector machine
- knn
- feature selection
- benchmark datasets
- naive bayes
- k nearest neighbor
- text classification
- nearest neighbor
- streaming data
- classifier ensemble
- training set
- training data
- batch learning
- feature extraction
- learning algorithm