Mass-Based Short Term Selection of Classifiers in Data Streams.
Daniel Nowak AssisFabrício EnembreckJean Paul BarddalPublished in: IJCNN (2023)
Keyphrases
- short term
- data streams
- long term
- data stream classification
- sliding window
- stock market
- short term and long term
- load forecasting
- anytime classification
- streaming data
- long term memory
- stream data
- medium term
- naive bayes
- chaotic time series
- support vector
- short and long term
- data sets
- forecasting model
- motion prediction
- concept drift
- feature selection
- wind speed
- power generation
- focus of attention
- prediction model
- classification algorithm
- computational model
- non stationary
- training set
- training data