Generating Artificial Outliers in the Absence of Genuine Ones -- a Survey

Understand

By definition, outliers are rarely observed in reality, making them difficult to detect or analyse.

• Artificial outliers approximate such genuine outliers and can, for instance, help with the detection of genuine outliers or with benchmarking outlier-detection algorithms.
• The literature features different approaches to generate artificial outliers.
• However, systematic comparison of these approaches remains absent.