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 32):
The method of  claim 31 , further comprising configuring, by the cross metric engine, in response to a majority of metrics in a metric group being determined to be a particular metric type, all metrics in the metric group to that particular metric type.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 99.0
- Lexical Diversity: 1.80488
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14476959', '14929982', '13851618', '14030652', '15425906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2115184701451935
- 35 USC 102 Novelty (BERT): 0.528996466532649
- Combined Prediction Score: 0.2432662697839391
- Mean Citation Score: 180.888056
- Max Citation Score: 330.6219
- Similarity Product: 200.605945178318

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