公开(公告)号：US20180278487A1

公开(公告)日：2018-09-27

申请号：US15466969

申请日：2017-03-23

申请人： Cisco Technology, Inc.

发明人： Grégory Mermoud ,  Pierre-Andre' Savalle ,  Jean-Philippe Vasseur ,  Javier Cruz Mota

IPC分类号： H04L12/24 ,  G06N3/08 ,  G06N3/04

CPC分类号： H04L41/16 ,  G06N3/0445 ,  G06N3/08 ,  H04L41/147 ,  H04L41/5009 ,  H04L67/10 ,  H04N7/163

摘要： In one embodiment, a device in a network maintains a machine learning-based recursive model that models a time series of observations regarding a monitored entity in the network. The device applies sparse dictionary learning to the recursive model, to find a decomposition of a particular state vector of the recursive model. The decomposition of the particular state vector comprises a plurality of basis vectors. The device determines a mapping between at least one of the plurality of basis vectors for the particular state vector and one or more human-readable interpretations of the basis vectors. The device provides a label for the particular state vector to a user interface. The label is based on the mapping between the at least one of the plurality of basis vectors for the particular state vector and the one or more human-readable interpretations of the basis vectors.