Anomaly-detection -- Discussion list for the study of machine learning-based anomaly detection
About Anomaly-detection	English (USA)
This list is for discussions of the field of anomaly detection -- specifically, machine learning and other adaptive approaches to anomaly detection. Anomaly detection is the task of finding interesting/significant deviations from "normal", "expected", or "modeled" system behavior, where the notion of normalcy is one developed from a combination of background knowledge and learning from known-normal data. Anomaly detection domains include security/intrusion detection, fault detection and diagnosis, epidemiology, financial time series modeling, video surveillance, and a host of others. Please feel free to use this list for any questions, discussions, or announcements related to anomaly detection. The origins of this list are in the 2004 Symposium on Anomaly Detection, hosted by Pat Langley and Stephen Bay at Stanford/CSLI. Anybody interested in anomaly detection, however, is welcome to join. To see the collection of prior postings to the list, visit the Anomaly-detection Archives. (The current archive is only available to the list members.)
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