文章基本信息

标题：Filtering Web Pages by Sensitive Mining Approach
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作者：M.Sreedevi ; A.Sowmya Kaveri ; Deepak.V 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2013
卷号：13
期号：3
页码：112-119
出版社：International Journal of Computer Science and Network Security
摘要：Many abnormal topics or remarks on the world wide web may like crime, violence etc may disturb the public morality and cause social unrest. Most traditional methods filter a page as long as it contains a keyword in a predefined blacklist. Such methods cannot provide a quantitative measure of how sensitive the content is. In this paper, we propose a utility-based Web content sensitivity mining approach. Utility is viewed as the measure of how sensitive a page is. It allows the Internet regulators to take different operations according to different sensitivity values. We apply our approach on a real-world Web dataset. By varying the sensitive values of the keywords, different sets of high sensitivity keywords were discovered.
关键词：sensitive content; flexibility ;utility mining; sensitivity mining .