Theory of Outlier Ensembles

Abstract

Outlier detection is an unsupervised problem, in which labels are not available with data records (Aggarwal, Outlier analysis, 2017, [2]). As a result, it is generally more challenging to design ensemble analysis algorithms for outlier detection. In particular, methods that require the use of labels in intermediate steps of the algorithm cannot be generalized to outlier detection.