Outlier Detection with Maximum Likelihood

Non-Causal Step

This step detects outliers in a data set by checking the value in question’s distance from the mean distribution.

Input Parameters

1. Input data including outliers

Output Parameters

1. Original data with outliers marked

Workflow

Algorithm

Maximum Likelihood

References

• J. Han, M. Kamber and J. Pei, Data Mining - Concepts and Techniques, 3rd ed., Amsterdam: Morgan Kaufmann Publishers, 2012.