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 18):
The system of  claim 16 , wherein the instructions are executable on the processor to:\n determine an environment parameter representing deployment environments of access nodes in a network that are in a vicinity of the plurality of devices, wherein the machine learning model produces the information relating to the locations or mobility of the plurality of devices 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): 0.6857631010569752
- 35 USC 102 Novelty (BERT): 0.4704161381820643
- Combined Prediction Score: 0.6642284047694842
- Mean Citation Score: 128.04437420000002
- Max Citation Score: 133.9287
- Similarity Product: 94.93476378670334

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