SCD-CA: Stable Concept Drift Learning Based on Correlation Alignment for Streaming Data Forecasting.
Ge YuZixiao ZhangXi ZhangPublished in: ASCC (2022)
Keyphrases
- concept drift
- streaming data
- data streams
- drifting concepts
- batch learning
- evolving data streams
- data distribution
- data stream mining
- learning algorithm
- drift detection
- non stationary
- sliding window
- change detection
- stream data
- concept drifting data streams
- incremental clustering
- stream mining
- incremental learning
- supervised learning
- active learning
- concept drifting
- pairwise
- data structure
- reinforcement learning