Double weighted methodology: A weighted ensemble approach to handle concept drift in data streams.
Parneeta SidhuM. P. S. BhatiaAbhishek RaviKirti JherwalPublished in: ReTIS (2015)
Keyphrases
- concept drift
- data streams
- streaming data
- sliding window
- drift detection
- incremental clustering
- data stream mining
- change detection
- data stream classification
- evolving data streams
- mining data streams
- drifting concepts
- data distribution
- classification algorithm
- stream data
- data sets
- concept descriptions
- high speed data streams
- continuous queries
- batch learning
- knn
- active learning
- computer vision
- learning algorithm