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A unifying framework for detecting outliers and change points from non-stationary time series data.

Kenji YamanishiJun'ichi Takeuchi
Published in: KDD (2002)
Keyphrases
  • non stationary
  • detecting outliers
  • outlier detection
  • white noise
  • change point detection
  • computer vision
  • financial time series
  • data sets
  • three dimensional
  • data points
  • concept drift
  • autoregressive