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Re:Show HN: Fast Real-Time Anomaly Detection in Dynamic Graphs by shivin9 on Friday February 07, 2020 @10:40PM (#22273662)
Ah alright, that makes sense. But it works only when the destination is the same. In a setting where there are multiple web-hosting servers, you would need to treat a group of source and destination points as micro-clusters themselves.

Can you extend MIDAS to adapt to that scenario?

Re:Show HN: Fast Real-Time Anomaly Detection in Dynamic Graphs by siddharthbhatia on Friday February 07, 2020 @11:12PM (#22273810)
In Figure 7 of the paper, we show an example of detection when neither edge/source/destination is individually anomalous but as a whole, it is a microcluster anomaly. It can similarly be detected when there are multiple web-hosting servers.