PATENT CLAIM ANALYSIS

Application Number: 15879452
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["370", "235000"]

Abstract:
A network data transmission method is provided. A switch device receives one or more data flows, classifies each of the received data flows into one of two classes according to data features of the data flow by using a decision tree model established by a flow table pipeline of the switch device. If a data flow belongs to a first class, the switch device reports the data flow to a controller, so that the controller computes a transmission path for the data flow. If a data flow belongs to a second class, the switch device obtains a transmission path for the data flow according to local flow table information, and transmits the data flow according to the obtained transmission path. Data flows are classified and filtered by using a switch, so as to improve network transmission efficiency while ensuring bearing capability of a network control system.

Claim (Index 14):
The switch device according to  claim 9 , wherein the classification of the data flow into one of two classes is based on one or more thresholds of the data features,\n wherein a first-class data flow is a data flow with a large amount of data, a data flow of an application that has a high requirement for network quality, or a data flow that has a high importance level or a high priority, and wherein a second-class data flow is a data flow with a small amount of data, a data flow of an application that has a low requirement for network quality, or a data flow that has a low importance level or a low priority.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.30882
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13293986', '10236149', '09990569', '13336083', '12978378']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.543770554596624
- 35 USC 102 Novelty (BERT): 0.5072537241432464
- Combined Prediction Score: 0.5401188715512864
- Mean Citation Score: 177.30751600000005
- Max Citation Score: 198.74799
- Similarity Product: 109.97437523589493

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

Dataset: test