Online classification of nonstationary data streams

  title={Online classification of nonstationary data streams},
  author={Mark Last},
  journal={Intell. Data Anal.},
  • Mark Last
  • Published 2002 in Intell. Data Anal.
Mark Last Ben-Gurion University of the Negev Department of Information Systems Engineering Beer-Sheva 84105, Israel Email: Abstract Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods of time, ranging from seconds to years, and ignoring possible changes in the underlying concept, also known as concept drift, may degrade the predictive… CONTINUE READING
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