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 15):
The computer-readable storage medium of  claim 10 , wherein, when executed by the processor, the program instructions cause the computer to identify, prior to comparing the temporal anomaly scores of the group of access points, the group of access points using an unsupervised learning technique.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.5873
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15687638', '14501870', '13950523', '14765324', '15132051']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7085485325979182
- 35 USC 102 Novelty (BERT): 0.4903681125274739
- Combined Prediction Score: 0.6867304905908738
- Mean Citation Score: 180.684804
- Max Citation Score: 189.81694
- Similarity Product: 127.36771053471564

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