PATENT CLAIM ANALYSIS

Application Number: 15917952
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["370", "242000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for telecommunications network troubleshooting. In one aspect, a method includes obtaining multiple current observations characterizing current operation of a telecommunications network, the multiple observations including performance monitoring data for the network and quality of service data for the network. One or more prior network states for the network are obtained. A current state of the network is determined, by a machine learning model, based on the current observations and the one or more prior network states. One or more actions are performed based on the current state of the network, including, when the current state of the network is an abnormal state, taking an action that is mapped to the abnormal state.

Claim (Index 4):
The method of  claim 3 , wherein:\n the output of the machine learning model indicates the current state of the network is a given abnormal state; and the normalized current state of the network is a normal state, the method further comprising:\n preventing an action that is mapped to the given abnormal state from being performed based on the normalized current state of the network being the normal state.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.27419
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15091840', '15349894', '14821549', '14097862', '15016173']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4645710453064237
- 35 USC 102 Novelty (BERT): 0.5082432107714059
- Combined Prediction Score: 0.4689382618529219
- Mean Citation Score: 176.2632
- Max Citation Score: 185.27437
- Similarity Product: 104.67044414259196

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test