GPU-Accelerated Extreme Learning Machines for Imbalanced Data Streams with Concept Drift.
Bartosz KrawczykPublished in: ICCS (2016)
Keyphrases
- concept drift
- gpu accelerated
- extreme learning machines
- data streams
- class imbalance
- class distribution
- streaming data
- finite element
- mining data streams
- drifting concepts
- drift detection
- sliding window
- stream data
- data stream classification
- data stream mining
- real time
- evolving data streams
- change detection
- outlier detection
- data distribution
- classification algorithm
- ensemble classifier
- non stationary
- sequence alignment
- stream mining
- high speed data streams
- data sets
- incoming data
- continuous queries
- knn
- stream processing
- k nearest neighbor
- query processing
- training data
- clustering algorithm
- noisy data streams