Abstract
An anomaly is a data point that deviates dramatically from some set of
related data points, based on some common metric. For instance,
consider a set of flights. Some might be anomalous because their
flying time is so much larger than the average even though they fly to
the same sets of airports. While there is signicant research on
finding anomalous records from within data sources, we are unaware of
research on explaining why those anomalous data points are actually
anomalous (beyond their deviance from the "standard" value for the
metric). Generating these explanations is the focus of this paper.