PATENT CLAIM ANALYSIS

Application Number: 15753970
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["709", "223000"]

Abstract:
The present invention provides a system and method for quickly determining a reasonable alarm threshold of a network, including: a presentation component for setting the template type and template parameter of an alarm simulation template, a working component for generating an alarm simulation task according to the alarm simulation template, a task component for executing the alarm simulation task to generate a data result set, and a storage component for storing and providing the data result set for the presentation component. The present invention adopts the asynchronous calculation, and adopts fragment manner during data statistics; the time period is divided into time slices and processed in parallel, and then aggregated, to improve the data processing rate; the similar alarm points are merged, thereby accurately obtaining the actual number of alarms and presenting in an incremental mode.

Claim (Index 10):
The system for quickly determining the reasonable alarm threshold of the network according to  claim 1 , wherein the presentation component comprises at least one member selected from a group consisting of a Web component, a GUI component and a terminal.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.93506
- Patent Class: 709.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15119329', '11117115', '10324641', '10704528', '13920333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2975947011753501
- 35 USC 102 Novelty (BERT): 0.4619652197393359
- Combined Prediction Score: 0.3140317530317487
- Mean Citation Score: 130.196808
- Max Citation Score: 134.36768999999998
- Similarity Product: 96.50599418964028

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

Dataset: test