NETWORK TROUBLESHOOTING WITH UNSUPERVISED LEARNING
Application
US20260089051A1
Kind: A1
Mar 26, 2026
Assignee
AT&T Intellectual Property I, L.P.
Inventors
Anandarup Sarkar, Syed Anwar Aftab, Abbas Munawar Fazal
Abstract
Aspects of the subject disclosure may include, for example, performing an unsupervised learning by clustering historical call flow failure traces using a clustering algorithm suitable for use with categorical data. When a new call flow failure trace is received, it is assigned to a cluster, and a root cause analysis and solution recommendation is performed based on the cluster to which the new call flow failure trace is assigned. Other embodiments are disclosed.
CPC Classifications
H04L 41/0631
H04L 41/0677
H04L 41/16
Filing Date
2024-09-23
Application No.
18893099