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Support Vector Machines for Syndromic Surveillance
Content Type: Abstract
Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series… read more… METHOD At a high level our anomaly detection approach con- sists of: 1) Learning the model of normalcy; 2) De- … in Kernel Methods: Support Vector Learning”, MIT Press, Cam- bridge, MA, 1999. [3] Burkom H., Elbert Y., Magruder …