PATENT CLAIM ANALYSIS

Application Number: 15884340
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["455", "424000"]

Abstract:
During operation, a computer may monitor values of at least one performance metric associated with packet communication by access points in a network. Then, the computer may compare current values of the performance metric for the access points with historical values of the performance metric for the access points within a temporal context in order to determine temporal anomaly scores for the access points. Moreover, the computer may compare the temporal anomaly scores of a group of access points in order to determine spatial temporal anomaly scores for the access points that indicate a significance of the temporal anomaly scores in a spatial context. Furthermore, when a spatial temporal anomaly score for an access point meets a detection criterion, the computer system may identify the current value of the performance metric for the access point as an anomaly. Next, the computer system may perform a remedial action based on the identified anomaly.

Claim (Index 17):
A method for identifying an anomaly, comprising:\n by a computer: monitoring values of at least one performance metric associated with packet communication of the access points; comparing current values of the performance metric for the access points with historical values of the performance metric for the access points within a temporal context in order to determine temporal anomaly scores for the access points; comparing the temporal anomaly scores of a group of access points in order to determine spatial temporal anomaly scores for the access points that indicate a significance of the temporal anomaly scores in a spatial context; when a spatial temporal anomaly score for an access point meets a detection criterion, identifying the current value of the performance metric for the access point as an anomaly; and performing a remedial action based at least in part on the identified anomaly.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.5873
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15687638', '14501870', '13950523', '14765324', '15132051']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6853902007156183
- 35 USC 102 Novelty (BERT): 0.4790716782952723
- Combined Prediction Score: 0.6647583484735837
- Mean Citation Score: 180.684804
- Max Citation Score: 189.81694
- Similarity Product: 139.4562815455532

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test