APPRENTISSAGE ACTIF DE MARQUAGE INTERACTIFS DE NOUVEAUX TYPES DE DISPOSITIFS SUR LA BASE DU FEEDBACK LIMITÉ

摘要

In embodiments, a device clusters traffic feature vectors for a plurality of endpoints in a network into a set of clusters. Each traffic feature vector comprises traffic telemetry data captured for one of the endpoints. The device selects one of the clusters for labeling, based in part on contextual data associated with the clusters that was not used to form the clusters. The device obtains a device type label for the selected cluster by providing data regarding the selected cluster and the contextual data associated with that cluster to a user interface. The device provides the device type label and the traffic feature vectors associated with the selected cluster for training a machine learning-based device type classifier.