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An effective evaluation measure for clustering on evolving data streams.

Hardy KremerPhilipp KranenTimm JansenThomas SeidlAlbert BifetGeoff HolmesBernhard Pfahringer
Published in: KDD (2011)
Keyphrases
  • evaluation measures
  • evolving data streams
  • clustering algorithm
  • k means
  • learning to rank
  • data sets
  • machine learning
  • data streams
  • data clustering
  • concept drift