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Anomaly detection Online social networks Graph mining
Therefore, the anomalous parts of the social network can be identified by using graph mining tech- niques.
Even though a plethora of work has been done on anomaly detection on datasets containing multi-dimensional data instances, anomaly detection using graph mining techniques has received attention only in the recent years.
Graph-based anomaly detection is the problem of finding anomalies from data that are represented as graphs, by using graph mining techniques.
Graph mining, which has been a popular area of research in recent years, is the novel approach for ex- tracting useful knowledge from graph data by using techniques from fields such as machine learning, data mining, statistics, pat- tern recognition, and graph theory (Jiang, 2011).
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