Anomaly Detection for Streaming Sensor Data



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Date16.07.2017
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Anomaly Detection for Streaming Sensor Data



We are presenting several scenarios for real-time anomaly detection, prediction and multi-resolution visualization of complex sensor set-ups. Applications will be demonstrated in the domain of vehicle tracking, modeling personal mobility patterns, energy saving, manufacturing and large IT infrastructure monitoring. The presentation will address methodological issues when dealing with high performance requirements in real-time analytics, and practical examples from commercial and academic deployments.

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