MACHINE-LEARNING TECHNIQUES FOR DETECTION OF UNAUTHORIZED ACCESS OF INTERACTIVE COMPUTING ENVIRONMENT FUNCTIONS

An online security analysis system determines a categorical value in an online activity and also determines conversion factors that are associated with the categorical value. Based on the conversion factors, the online security analysis system identifies at least one aggregated value for a numerical feature that is associated with previous online activities for the categorical value. In addition, the online security analysis system generates an embedding vector that describes the aggregated value associated with the categorical value. The embedding vector is provided to an online activity analysis model that is trained to generate prediction data for the online activity, based on the aggregated values associated with the categorical value. The prediction data is transmitted to an online system for use in controlling access of a client device to a function of the online system.