期刊文献+

基于核方法的敏感信息过滤的研究 被引量:8

Sensitive information filtering based on kernel method
下载PDF
导出
摘要 在深入分析敏感信息过滤任务的特点和难点的基础上,针对现有一般的信息过滤方法的不足,提出了一种利用敏感词的组合信息来改进过滤效果的思想。进而,研究了在核方法的框架下特征共现行为建模的原则并提出了复合ANOVA核来刻画特征组合行为。通过真实信息过滤环境中的测试评估,显示了此敏感信息过滤方法的有效性。 Based on the discussion about the characteristics and the hardness of sensitive information filtering task, the idea of employing the combination of sensitive words to refine the filtering effect was proposed. The compound-ANOVA kernel to modeling the combination of features was introduced under the kernel method framework. According to the evaluation in the real settings, the method exhibits its superiority on the sensitive information filtering task.
出处 《通信学报》 EI CSCD 北大核心 2008年第4期57-62,共6页 Journal on Communications
基金 国家自然科学基金资助项目(60773027,60736044) 国家高技术研究发展计划(“863”计划)基金资助项目(2006AA010108) 国家信息安全计划(“242”计划)基金资助项目(2005A18,2006A40)~~
关键词 信息过滤 内容安全 核方法 特征空间 information filtering content security kernel method feature space
  • 相关文献

参考文献18

二级参考文献32

  • 1张国煊 王小华.快速书面汉语自动分词系统及其算法设计[J].计算机研究与发展,1993,30(1):61-65.
  • 2陆大(纟金).随机过程及其应用[M].北京:清华大学出版社,1986..
  • 3J. Rocchio. Relevance feedback in information retrieval. In: The SMART Retrieval System. Englewood Cliffs, NJ : Prentice-Hall,1971. 313-323.
  • 4Wu Lide, Huang Xuanjing, et al. Filtering, QA, Web and video tasks. The 10th Text Retrieval Conf. , Gathersburg, USA,2001. http://trec, hist. gov/pub.s/trecl0/t10_proceedings, html.
  • 5Zhai Chengxiang, Peter Jansen, Norbert Roma, et al.Optimization in CLAR1T TREC-8 Adaptive Filtering. The 8th Text Retrieval Conf., Gathersburg, USA, 1999. http://trec. nist. gov/pubs/trec8/t8_proceedings.html.
  • 6Avi Arampatzis. Unbiased S-D threshold optimization, initial query degradation, incrementality, for adaptive filtering. The 10th Text Retrieval Conf., Gathersburg, USA, 2001. http://trec. nist. gov/pubs/trecl 0/t10_proceedings. html.
  • 7Stephen Robertson, Ian Soboroff. The TREC 2001 filtering track report. The 10th Text Retrieval Conf., Gathersburg, USA,2001. http://trec, nist. gov/pubs/trecl0/t10_proceedings, html.
  • 8Stephen Robertson, lan Soboroff. The TREC 2002 filtering track report. The llth Text Retrieval Conf., Gathersburg, USA,2002. http://trec. nist. gov/pubs/trecl 1/t11_proceedings, html.
  • 9Robert E. Schapire, Yoram Singer Amit Singhal. Boosting and Rocchio applied to text filtering. In: Proc. of 21st ACM SIGIR Conf. on Research and Development in Information Retrieval.New York: ACM Press, 1998. 215--223.
  • 10J. Lafferty, C. Zhai. Risk minimization and language modeling in information retrieval. In: Proc. of the 24th ACM SIGIR Conf.on Research and Development in Information Retrieval. NewYork: ACM Press, 2001. 111--119.

共引文献35

同被引文献90

引证文献8

二级引证文献39

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部