发明授权
US07792846B1 Training procedure for N-gram-based statistical content classification
有权
基于N-gram的统计内容分类的训练程序
- 专利标题： Training procedure for N-gram-based statistical content classification
- 专利标题（中）： 基于N-gram的统计内容分类的训练程序
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申请号： US11881770申请日： 2007-07-27
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公开(公告)号： US07792846B1公开(公告)日： 2010-09-07
- 发明人: Thomas E. Raffill , Shunhui Zhu , Roman Yanovsky , Boris Yanovsky , John Gmuender
- 申请人： Thomas E. Raffill , Shunhui Zhu , Roman Yanovsky , Boris Yanovsky , John Gmuender
- 申请人地址： US CA San Jose
- 专利权人： SonicWall, Inc.
- 当前专利权人： SonicWall, Inc.
- 当前专利权人地址： US CA San Jose
- 代理机构： Blakely, Sokoloff, Taylor & Zafman LLP
- 主分类号： G06F7/00
- IPC分类号： G06F7/00 ; G06F17/30
摘要：
A training procedure for N-gram based statistical document classification has been disclosed. In one embodiment, a set of N-grams is selected out of a second set of N-grams, each of the N-grams having a sequence of N bytes, where N is an integer. Then a statistical content classification model is generated based on occurrences of the N-grams, if any, in a set of training documents and a set of validation documents. The statistical content classification model is provided to content filters to classify content.
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