Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams.
Sripirakas SakthithasanRussel PearsAlbert BifetBernhard PfahringerPublished in: IJCNN (2015)
Keyphrases
- data streams
- sliding window
- data sets
- concept drift
- decision trees
- fourier transform
- ensemble learning
- stream data
- streaming data
- sensor networks
- principal component analysis
- ensemble methods
- fourier spectrum
- mining data streams
- continuous data streams
- data stream mining
- key concepts
- feed forward
- change detection
- frequency domain
- itemsets