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Anomaly Detection : A Survey

A modified version of this technical report will appear in ACM Computing Surveys, September Detection : A SurveyVARUN CHANDOLAU niversity of MinnesotaARINDAM BANERJEEU niversity of MinnesotaandVIPIN KUMARU niversity of MinnesotaAnomaly Detection is an important problem that has been researched within diverse research areasand application domains. Many Anomaly Detection techniques have been specifically developedfor certain application domains, while others are more generic. This Survey tries to provide astructured and comprehensive overview of the research on Anomaly Detection . We have groupedexisting techniques into different categories based on the underlying approach adopted by eachtechnique.

detection techniques developed in machine learning and statistical domains. A broad review of anomaly detection techniques for numeric as well as symbolic data is presented by Agyemang et al. [2006]. An extensive review of novelty detection techniques using neural networks and …

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