Anomaly detection in data represented as graphs
William Eberle, Lawrence B. Holder · Intelligent Data Analysis · 2007
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a graph. In this paper we present graph-based approaches to uncovering an