A real-time database outlier detection method hashes connection parameters and uses a coupon collector style inequality to decide when the learning phase ends, but the confidence claim rests on a flawed derivation.
Survey on Real -time Anomaly Detection Technology for Big Data Streams
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Real-Time Outlier Connections Detection in Databases Network Traffic
A real-time database outlier detection method hashes connection parameters and uses a coupon collector style inequality to decide when the learning phase ends, but the confidence claim rests on a flawed derivation.