Workshop led by Pavlo Mozharovskyi, Telecom Paris.
Anomaly detection (Chandola et al., 2009) is a branch of machine learning which aims at identifying observations that exhibit abnormal behavior. Be it measurement errors, disease development, severe weather, production quality default(s) (items) or failed equipment, financial frauds or crisis events, their on-time identification, isolation and explanation constitute an important task in almost any branch of industry and science.
During this workshop, one of these following topic will be discussed :
Please note that the workshop will be conducted in French or English depending on the participants.
Atelier réalisé le 24 septembre 2021.