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dmos62
on April 7, 2020
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Show HN: Fast Anomaly Detection in Graphs [pdf]
Git repo
https://github.com/bhatiasiddharth/MIDAS
> Up to 48% more accurate and 644 times faster than the state of the art approaches
siddhartb_
on April 7, 2020
[–]
Thanks. We give theoretical guarantees on the False Positive Probability which can be useful to decide the parameters. Some use cases of the project include detecting: 1. Intrusions 2. Fake Ratings 3. Financial Fraud
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> Up to 48% more accurate and 644 times faster than the state of the art approaches