PATENT CLAIM ANALYSIS

Application Number: 15941552
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["370", "252000"]

Abstract:
A recursive algorithm may be applied to group cells in a service network into a small number of clusters. For each of the clusters, different regression algorithms may be evaluated, and a regression algorithm generating a smallest error is selected. A total error for the clusters may be identified based on the errors from the selected regression algorithms and from degrees of separation associated with the cluster. If the total error is greater than a threshold value, the cells may be grouped into a larger number of clusters and the new clusters may be re-evaluated. A key performance indicator (KPI) may be estimated for a cell based on a regression algorithm selected for the cluster associated with the cell. A resources may be allocated to the cell based on the KPI value.

Claim (Index 12):
The device of  claim 8 , wherein the processor, when calculating the value for the KPI, is further configured to:\n filter the usage data to identify a portion of the usage data that is relevant to the KPI and the cell, wherein the KPI is calculated from the filtered usage data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.23438
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15087129', '14975116', '14273433', '14248056', '15373177']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.55844532187631
- 35 USC 102 Novelty (BERT): 0.4974033237346936
- Combined Prediction Score: 0.5523411220621484
- Mean Citation Score: 167.14679699999996
- Max Citation Score: 296.3735
- Similarity Product: 295.04496817201374

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

Dataset: test