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计算机工程 ›› 2007, Vol. 33 ›› Issue (20): 97-98. doi: 10.3969/j.issn.1000-3428.2007.20.033

• 网络与通信 • 上一篇    下一篇

网络过滤研究

翟伟斌1,2,赵 艳3,许榕生1,2   

  1. (1. 中国科学院高能物理研究所计算中心,北京 100049;2. 中国科学院研究生院,北京 100049;3. 燕山大学信息工程学院,秦皇岛 066044)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-20 发布日期:2007-10-20

Web Filtering Research

ZHAI Wei-bin1,2, ZHAO Yan3, XU Rong-sheng1,2   

  1. (1. Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049; 2. Graduate School, Chinese Academy of Sciences, Beijing 100049; 3. College of Information Engineering, Yanshan University, Qinhuangdao 066004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-20

摘要: 介绍一种基于Web挖掘和URL相结合的Web过滤方法,利用Web挖掘实现基于内容的离线Web分类,有效地解决了单纯基于关键词过滤和人工维护URL过滤系统的缺陷。实验结果表明,该系统对于网页类别的识别达到了可以接受的程度,具有良好的实用价值。

关键词: Web挖掘, Web分类, 网络过滤

Abstract: This paper introduces a Web filtering method based on the combination of manual Web mining and URL. Using Web mining to achieve content-based Web categorization offline, it overcomes the limitation of key words filtering system and URL filtering system. Experimental results show that recognition of Web classification with the method is acceptable, which enjoys practical value.

Key words: Web mining, Web categorization, Web filtering

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