Outlier Detection in Two Review Articles (Part 1)

If you need to read two review articles about outlier detection, the first one is…

Outlier Detection: A Survey

The first one, Outlier Detection: A Survey, is written by Chandola, Banerjee and Kumar. They define outlier detection as the problem of “[…] finding patterns in data that do not conform to expected normal behavior“. After an introduction to what outliers are, authors present current challenges in this field. In my experience, non-availability of labeled data is a major one.

(more…)