Anomaly Detection at Multiple Scales
Anomaly Detection at Multiple Scales, or ADAMS, is a $35 million DARPA project designed to identify patterns and anomalies in very large data sets. It is under DARPA's Information Innovation office and began in 2011. The Proactive Discovery of Insider Threats Using Graph Analysis and Learning is part of the ADAMS project. The Georgia Tech team includes noted high-performance computing researcher David A. Bader.
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Anomaly Detection at Multiple Scales
Anomaly Detection at Multiple Scales, or ADAMS, is a $35 million DARPA project designed to identify patterns and anomalies in very large data sets. It is under DARPA's Information Innovation office and began in 2011. The Proactive Discovery of Insider Threats Using Graph Analysis and Learning is part of the ADAMS project. The Georgia Tech team includes noted high-performance computing researcher David A. Bader.
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Anomaly Detection at Multiple ...... ing researcher David A. Bader.
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Detect insider threats in defense and government networks
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Anomaly Detection at Multiple Scales
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Anomaly Detection at Multiple ...... ing researcher David A. Bader.
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Anomaly Detection at Multiple Scales
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