Effective Discovery of Meaningful Outlier Relationships
Effective Discovery of Meaningful Outlier Relationships
We propose Predictable Outliers in Data-trendS (PODS) , a method that, given a collection of temporal datasets, derives data-driven explanations for outliers by identifying meaningful relationships between them. First, we formalize the notion of meaningfulness, which so far has been informally framed in terms of explainability. Next, since outliers are …