Evaluating Extreme Learning Machine Models in the Presence of Concept Drift in Streaming Data.
Tagrid AlshalaliDarsana JosyulaPublished in: ICISDM (2020)
Keyphrases
- concept drift
- streaming data
- data streams
- non stationary
- evolving data streams
- data distribution
- drift detection
- extreme learning machine
- data stream mining
- change detection
- ensemble learning
- classification algorithm
- sliding window
- stream data
- concept drifting data streams
- neural network
- pattern recognition
- gaussian processes
- model selection
- probabilistic model
- support vector regression
- text categorization
- k nearest neighbor
- ensemble classifier
- text classification
- multi dimensional
- feature selection