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Using HDDT to avoid instances propagation in unbalanced and evolving data streams.

Andrea Dal PozzoloReid A. JohnsonOlivier CaelenSerge WaterschootNitesh V. ChawlaGianluca Bontempi
Published in: IJCNN (2014)
Keyphrases
  • evolving data streams
  • data streams
  • random forests
  • concept drift
  • stream mining
  • streaming data
  • decision trees
  • change detection
  • machine learning
  • learning algorithm
  • data stream mining
  • stream clustering