7.00.02 - OutlierFilter - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Aster Analytics
Release Number
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
English (United States)

The OutlierFilter function is useful for filtering a numeric data set before applying analytic functions for which outliers can skew the estimates of parameters and cause inaccurate predictions. Such functions include time series functions, GLM, LARS, LinReg, PCA, and KMeans. The input data set is expected to have millions of attribute-value pairs.

The OutlierFilter function filters outliers from a data set, either deleting them or replacing them with a specified value. Optionally, the function stores the outliers in their own table. The methods that the function provides for filtering outliers are:
  • Percentile
  • Tukey's test
  • Carling's modification to Tukey's test
  • Median absolute deviation

The method determines the criteria for an observation to be classified as an outlier.