Active learning framework for automatic field extraction from network traffic
US7650317B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 6, 2006 |
| Grant date | Jan 19, 2010 |
| Priority date | — |
| Expiry date | Sep 1, 2028 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L69/22
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
An active learning framework is provided to extract information from particular fields from a variety of protocols. Extraction is performed in an unknown protocol, in which the user presents the system with a small number of labeled instances. The system then automatically generates an abundance of features and negative examples. A boosting approach is then used for feature selection and classifier combination. The system then displays its results for the user to correct and/or add new examples. The process can be iterated until the user is satisfied with the performance of the extraction capabilities provided by the classifiers generated by the system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.