An approach to dealing with incremental concept drift in personalized learning systems.
Bander AllogmanyDarsana JosyulaPublished in: CogMI (2022)
Keyphrases
- learning systems
- concept drift
- incremental clustering
- batch learning
- data streams
- streaming data
- drifting concepts
- learning process
- drift detection
- non stationary
- change detection
- computer supported
- learning resources
- data distribution
- learning environment
- data stream classification
- learning styles
- ensemble classifier
- classification algorithm
- machine learning
- incremental learning
- e learning
- user modeling
- adaptive systems
- neural network
- database
- user profiles
- feature space
- reinforcement learning
- bayesian networks
- decision trees
- databases