EXPLAINABLE DISTANCE-BASED OUTLIER DETECTION IN DATA STREAMS

Explainable Distance-Based Outlier Detection in Data Streams

Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions.We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces, we visual comfort primitive swing arm propose a novel labeling of outliers in a manner that

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