PATENT CLAIM ANALYSIS

Application Number: 16274781
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["709", "224000"]

Abstract:
Mechanisms for anomaly detection in a network management system are provided. The mechanisms collect metric data from a plurality of network devices and determine metric types for the metric data using metric type reference data. The mechanisms determine and apply properties from the metric type reference data to metrics of the determined metric types. The mechanisms monitor subsequent metric data for anomalies that do not conform to the applied properties.

Claim (Index 33):
The method of  claim 30 , wherein collecting metric data comprises at least by one of streaming real time data or a bulk processing, and wherein the metric data is collected over at least one of a fixed time period or a rolling time period.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 99.0
- Lexical Diversity: 1.80488
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14476959', '14929982', '13851618', '14030652', '15425906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2320345872509821
- 35 USC 102 Novelty (BERT): 0.5305264607890288
- Combined Prediction Score: 0.2618837746047868
- Mean Citation Score: 180.888056
- Max Citation Score: 330.6219
- Similarity Product: 208.46454348700044

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