Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks.
Shenglan LiuLin FengJun WuGang HouGuangjie HanPublished in: Comput. Electr. Eng. (2017)
Keyphrases
- data streams
- sensor networks
- concept drift
- drifting concepts
- sliding window
- streaming data
- change detection
- batch learning
- sensor data
- wireless sensor networks
- principal component analysis
- learning algorithm
- energy efficient
- data distribution
- stream data
- data stream classification
- neural network
- data stream mining
- environmental monitoring
- resource constrained
- sensor nodes
- active learning
- data sets
- continuous queries
- incremental learning
- classification algorithm
- evolving data streams
- non stationary
- heterogeneous sensor networks