PATENT CLAIM ANALYSIS

Application Number: 15904492
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["455", "456100"]

Abstract:
In some examples, a system provides a machine learning model trained based on historical data including network-observed parameters for devices associated with a network. The system inputs values of the network-observed parameters for a first device into the machine learning model, the input values being from a plurality of devices in the network. The machine learning model produces information relating to a location or mobility of the first device.

Claim (Index 4):
The non-transitory machine-readable storage medium of  claim 1 , wherein the instructions upon execution cause the system to:\n determine an environment parameter representing a deployment environment of an access node in the network in a vicinity of the first device, wherein the machine learning model produces the information relating to the location or mobility of the first device further based on the environment parameter.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 88.0
- Lexical Diversity: 1.68182
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15726543', '15783342', '14830964', '15782197', '15626412']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.684054974592341
- 35 USC 102 Novelty (BERT): 0.4776871142229058
- Combined Prediction Score: 0.6634181885553975
- Mean Citation Score: 128.04437420000002
- Max Citation Score: 133.9287
- Similarity Product: 89.65353706299662

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

Dataset: test