网页中数据异常识别的非线性研究

由于Web上网页的急剧增加,信息搜索与挖掘越来越引起人们的重视。然而网页中除了主题信息外,还有噪声信息,从而网页净化技术受到越来越多的研究人员的关注,并提出了各种算法。借鉴人工免疫系统在计算机网络入侵检测中的应用,提出了一种基于AIS的网页去噪算法。同时对网页中的数据进行了异常识别的非线性研究。

Nonlinear Study on Web Data Anomaly Recognition

Because the number of web pages is sharply increasing, information searching and excavation have drawn people's increasing attention. However, besides some thematic information, there is also inappropriate noise information on the Web pages, so Web purification technology has become a concern for more and more researchers, and various algorithms have been proposed. This paper refers to the application of artificial immune system in the computer network intrusion detection and proposes a Web page de-noising algorithm based on the AIS. At the same time, this paper does non-linear study on the data anomaly recognition of the Web.