PATENT CLAIM ANALYSIS

Application Number: 16042971
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-04
Patent Classification: ["717", "168000"]

Abstract:
Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.

Claim (Index 3):
The method of  claim 1 , wherein the feature set includes configuration settings for the plurality of deployments of the software resource; wherein the representative node corresponds to configuration settings that are recommended for deployments of the plurality of deployments of the software resource that belong to the at least one cluster.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 95.0
- Lexical Diversity: 2.35
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16041269', '15264975', '15899529', '15899625', '13733288']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.389710415023622
- 35 USC 102 Novelty (BERT): 0.5069620736106795
- Combined Prediction Score: 0.4014355808823278
- Mean Citation Score: 159.58884600000005
- Max Citation Score: 244.66595
- Similarity Product: 188.07299583086967

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