Online Clustering for Novelty Detection and Concept Drift in Data Streams.
Kemilly Dearo GarciaMannes PoelJoost N. KokAndré C. P. L. F. de CarvalhoPublished in: EPIA (2) (2019)
Keyphrases
- concept drift
- novelty detection
- data streams
- stream clustering
- incremental clustering
- evolving data streams
- streaming data
- text filtering
- drifting concepts
- mining data streams
- drift detection
- outlier detection
- data stream classification
- stream data
- data stream mining
- sliding window
- data distribution
- change detection
- non stationary
- clustering algorithm
- classification algorithm
- data sets
- k means
- batch learning
- stream mining
- machine learning
- data clustering
- anomaly detection
- high speed data streams
- data points
- decision trees