Anomaly Detection Methods and Applications
نویسنده
چکیده
Anomaly detection enjoys a myriad of useful applications including fraud and intrusion detection, image processing, and quality control to name a few; consequently, the methods for anomaly detection have equally wide scope with techniques combining elements from statistics, machine learning, probability, graph theory, and other subjects, often tailored to a specific application domain. This mini-symposium seeks to foster collaboration of these varied fields, application domains, and researchers through presentations on current advances in the subject.
منابع مشابه
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تاریخ انتشار 2013