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A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution.

Dandan ZhangHong ShenHui TianYidong LiJun WuYingpeng Sang
Published in: PAKDD (2) (2014)
Keyphrases
  • concept drifting data streams
  • clustering algorithm
  • classifier ensemble
  • data sets
  • active learning
  • decision trees
  • natural language
  • co occurrence
  • inductive learning algorithms