Locating Anomalies Using Bayesian Factorizations and Masks

Abstract

A plethora of methods have been developed to handle anomaly detection in various application domains. This work focuses on locating anomalies inside a categorical data set without assuming any specific domain knowledge. By exploiting the conditional dependence and independence relationships among data attributes, not only can data analysts recognize the… (More)

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