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Graph anomaly detection Outlier detection
Anomaly detection or outlier detection is a key problem in data mining and is defined as the problem of detecting anomalous patterns in a dataset.
Hodge and Austin (2004) provide a compre- hensive review of outlier detection approaches formulated in machine learning and statistical domain.
(2006) provide a broad overview on outlier detection techniques for numeric and symbolic data.
(2009) and the book by Aggarwal (2013) focus on the traditional outlier detection problem.
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