Unsupervised Concept Drift Detection Using Dynamic Crucial Feature Distribution Test in Data Streams.
Yen-Ning WanBijay Prasad JaysawalJen-Wei HuangPublished in: TAAI (2022)
Keyphrases
- concept drift
- data streams
- data distribution
- novelty detection
- change detection
- streaming data
- drifting concepts
- drift detection
- data stream classification
- sliding window
- data stream mining
- mining data streams
- incremental clustering
- classification algorithm
- non stationary
- evolving data streams
- stream data
- batch learning
- semi supervised
- stream mining
- stream clustering
- data sets
- unsupervised learning
- index structure
- anomaly detection
- supervised learning
- data points
- feature vectors
- high dimensional
- feature selection
- computer vision
- machine learning