Handling Concept Drifts in Incremental Learning with Support Vector Machines.
Nadeem Ahmed SyedHuan LiuKah Kay SungPublished in: KDD (1999)
Keyphrases
- incremental learning
- concept drift
- batch learning
- data stream classification
- mining data streams
- data streams
- streaming data
- incremental learning algorithm
- data stream mining
- drift detection
- fuzzy artmap
- change detection
- stream data
- incremental clustering
- non stationary
- learning process
- data distribution
- semi supervised
- concept drifting data streams
- ensemble classification
- evolving data streams
- classification algorithm
- supervised learning
- data mining
- sliding window
- neural network
- closed frequent itemsets
- reinforcement learning