Explainable Distance-Based Outlier Detection in Data Streams
Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on Bracelets the identification of the relevant dimensions.We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces, we propose a novel labeling of outliers in a manner that is intuitive for the use