Discovering Characterizations of the Behavior of Anomalous Sub-Populations

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Data Management
Format: PDF
The authors consider the problem of discovering attributes, or properties, accounting for the a-priori stated abnormality of a group of anomalous individuals (the outliers) with respect to an overall given population (the inliers). To this aim, they introduce the notion of exceptional property and define the concept of exceptionality score, which measures the significance of a property. In particular, in order to single out exceptional properties, they resort to a form of minimum distance estimation for evaluating the badness of fit of the values assumed by the outliers compared to the probability distribution associated with the values assumed by the inliers.
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