Identification of Activity Patterns in Communication Data without Content Dr. Uri Degen

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications Early detection of criminal activities is a challenged task for police and other law enforcement agencies. When only communication transactions without content are available for a set of suspects, we model the commu nication behavior routine as GMM on a set of features derived from the data. Once models are built, the deviations from them, when detected, serve as indicative signs