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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