Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.
Piotr DudaMaciej JaworskiLeszek RutkowskiPublished in: Int. J. Neural Syst. (2018)
Keyphrases
- regression model
- concept drift
- data streams
- neural network
- non stationary
- streaming data
- generalized linear
- global exponential stability
- drifting concepts
- sliding window
- model selection
- regression analysis
- drift detection
- change detection
- data stream classification
- regression methods
- data distribution
- mining data streams
- knn
- evolving data streams
- stream data
- multivariate regression
- artificial neural networks
- regression trees
- pattern recognition
- regression method
- neural network model
- data stream mining
- target variable
- k nearest neighbor
- survival analysis
- locally weighted
- stream mining
- response variable
- data sets
- density estimation
- classification algorithm
- input data
- explanatory variables
- rule extraction
- training data
- data mining