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Outlier Discovery: Statistical Approaches

  • Assume a model underlying distribution that generates data set (e.g. normal distribution)
  • Use discordancy tests depending on
    • data distribution
    • distribution parameter (e.g., mean, variance)
    • number of expected outliers
  • Drawbacks
    • most tests are for single attribute
    • In many cases, data distribution may not be known

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