Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation.
Ludwig ZellnerFlorian RichterJanina SontheimAndrea MaldonadoThomas SeidlPublished in: ICPM Workshops (2020)
Keyphrases
- concept drift
- streaming data
- novelty detection
- data streams
- change detection
- drift detection
- data stream mining
- classification algorithm
- evolving data streams
- non stationary
- mining data streams
- anomaly detection
- outlier detection
- incremental clustering
- stream data
- sliding window
- data distribution
- stream mining
- ensemble classifier
- concept drifting data streams
- incoming data
- database
- small number
- management system
- training set
- stream processing
- database management systems
- similarity measure
- machine learning