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 9):
The method of  claim 1 , wherein the plurality of clusters is a first set of clusters, the method further comprising generating a plurality of different sets of clusters; wherein each respective set of clusters is generated using a different respective feature set associated with the plurality of deployments.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 95.0
- Lexical Diversity: 2.35
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16041269', '15264975', '15899529', '15899625', '13733288']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.360399240716144
- 35 USC 102 Novelty (BERT): 0.5115677386712527
- Combined Prediction Score: 0.3755160905116549
- Mean Citation Score: 159.58884600000005
- Max Citation Score: 244.66595
- Similarity Product: 170.98302873040438

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