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计算机系统应用英文版:2010,19(9):81-83
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网页中数据异常识别的非线性研究
(西北民族大学 中国民族信息技术研究院 甘肃 兰州 730030)
Nonlinear Study on Web Data Anomaly Recognition
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Received:December 30, 2009    Revised:January 27, 2010
中文摘要: 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。
中文关键词: 人工免疫系统  异常下限  非线性
Abstract: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.
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引用文本:
刘战东,戴玉刚.网页中数据异常识别的非线性研究.计算机系统应用,2010,19(9):81-83
LIU Zhan-Dong,DAI Yu-Gang.Nonlinear Study on Web Data Anomaly Recognition.COMPUTER SYSTEMS APPLICATIONS,2010,19(9):81-83