Fast anomaly detection

Related Research Areas
Data Mining and Knowledge Discovery
Project Description
Anomaly detection is an active area of research for understanding safety risks in the NAS. As we move towards real time safety modeling, we explore scalable anomaly detection algorithms that are faster to train and have better detection performance.
Project Administrator(s):
Vijay Manikandan Janakiraman


Vijay Manikandan Janakiraman
David Nielsen
Sarang Nazari