Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing.
Philipp M. GrulichRené SaitenmacherJonas TraubSebastian BreßTilmann RablVolker MarklPublished in: EDBT (2018)
Keyphrases
- data streams
- concept drift
- streaming data
- change detection
- stream data
- mining data streams
- data stream mining
- evolving data streams
- data stream classification
- drifting concepts
- sliding window
- stream mining
- data distribution
- data sets
- classification algorithm
- sensor data
- limited memory
- incremental clustering
- non stationary
- drift detection
- ensemble learning
- ensemble classifier
- predictive coding
- continuous queries
- mining frequent itemsets
- incoming data
- continuous data
- outlier detection
- itemsets
- database management systems
- feature vectors
- machine learning