一种网络日志属性挖掘与分析方法
发布时间：2019-07-03 09:10
【摘要】：提出一种基于LDA模型(latent Dirichlet allocation model)与主题知识库相结合的网络日志内容属性标注方法。IP知识库的建立首先需要对采集的网络日志进行数据预处理;然后基于统计学原理标注网络日志的时间类属性,利用IP地址库映射方法提取网络日志的地域类属性;最后采用一种基于LDA模型与主题知识库相结合的标注方法对网络日志的内容类属性进行挖掘。结果表明,该方法原理正确,对网络日志属性的挖掘具有较好的效果。
[Abstract]:A network log content attribute annotation method based on LDA model and subject knowledge base is presented. The establishment of IP knowledge base needs to preprocess the collected network log first;Then, based on the statistical principle, the time type attribute of the network log is marked, and the regional attribute of the network log is extracted by the IP address library mapping method;Finally锛，
本文编号：2509262
[Abstract]:A network log content attribute annotation method based on LDA model and subject knowledge base is presented. The establishment of IP knowledge base needs to preprocess the collected network log first;Then, based on the statistical principle, the time type attribute of the network log is marked, and the regional attribute of the network log is extracted by the IP address library mapping method;Finally锛，
本文编号：2509262
本文链接：https://www.wllwen.com/kejilunwen/ruanjiangongchenglunwen/2509262.html
