Active learning framework for automatic field extraction from network traffic
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United States of America Patent
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Jan 19, 2010
Grant Date -
Jun 12, 2008
app pub date -
Dec 6, 2006
filing date -
Dec 6, 2006
priority date (Note) -
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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.
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