PATENT CLAIM ANALYSIS

Application Number: 15958293
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["709", "224000"]

Abstract:
Historical telemetry data can be used to generate predictions for various classes of data at various aggregates of a system that implements an online service. An anomaly detection process can then be utilized to detect anomalies for a class of data at a selected aggregate. An example anomaly detection process includes receiving telemetry data originating from a plurality of client devices, selecting a class of data from the telemetry data, converting the class of data to a set of metrics, aggregating the set of metrics according to a component of interest to obtain values of aggregated metrics over time for the component of interest, determining a prediction error by comparing the values of the aggregated metrics to a prediction, detecting an anomaly based at least in part on the prediction error, and transmitting an alert message of the anomaly to a receiving entity.

Claim (Index 38):
The system of  claim 34 , wherein: determining the prediction error comprises determining a series of differences between the prediction and the values of the aggregated metrics over a period of time; and detecting the anomaly further comprises determining that the series of differences exceeds a threshold difference over the period of time.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.08219
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15055251', '13219635', '15804012', '13784228', '12907957']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2352470039983997
- 35 USC 102 Novelty (BERT): 0.5521985350583821
- Combined Prediction Score: 0.2669421571043979
- Mean Citation Score: 215.87513600000003
- Max Citation Score: 427.19537
- Similarity Product: 279.2123379344082

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