Temporal anomaly detection: calibrating the surprise

Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato +2

We propose a hybrid approach to temporal anomaly detection in access data of users to databases --- or more generally, any kind of subject-object co-occurrence data. We consider a…