PATENT CLAIM ANALYSIS

Application Number: 16219221
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
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 27):
The computer-implemented method of  claim 26 , further comprising initiating an automatic recovery action with respect to the component.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.08219
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15055251', '15958293', '15804012', '13219635', '15414160']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2358353366008245
- 35 USC 102 Novelty (BERT): 0.5550616473994351
- Combined Prediction Score: 0.2677579676806856
- Mean Citation Score: 270.927876
- Max Citation Score: 423.8792
- Similarity Product: 351.05525543780334

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

Dataset: test