Anomaly detection refers to the problem of finding patterns in data that do not
conform to expected behavior.
Like a fish swimming upstream, the mouse befriending the cat and the rich giving to the poor.
But also like
- the malicious user in your organization
- the defecting engine you just manufactured
- the fraudulent credit card transaction you just processed
- the unreasonable network traffic on your servers
- …
It seems that Anomaly Detection amounts to all but separate the good from the bad. And in fact, it is. So why not dig up the good old binary classification?