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 27):
The network managing system of  claim 23 , wherein the first good metric property is a first mode value of a metric of the first predetermined metric type, and the first bad metric property is a predetermined amount of difference, from the first mode value, of a second mode value of the metric of the first predetermined metric type, wherein the first mode value is a most common value for the first predetermined metric type, and wherein the second mode value is a most common value of the metric of the first predetermined metric type.

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): 0.2321360411314813
- 35 USC 102 Novelty (BERT): 0.5227477789610965
- Combined Prediction Score: 0.2611972149144428
- Mean Citation Score: 180.888056
- Max Citation Score: 330.6219
- Similarity Product: 288.86708104519835

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