摘要
网络用户访问网站的过程中,产生了大量的用户浏览网页的相关记录,隐含着用户在上网过程中的行为习惯。但其中潜在的用户信息难以发现。因此,急需有效的方法提取这些数据中的信息,数据挖掘应用而生。其中,关联规则技术是应用广泛的技术之一。文中利用Apriori算法对Web结构数据进行关联规则挖掘,所得到的规则反映出页面之间的链接关系。分析挖掘结果可得到用户访问的行为规律,为相关网站的安全性和优化改进提供有效的决策依据。
The large number of web browsing records contains the implicit behaviors of users on the Internet, which however is difficult to find. Therefore, effective methods for extracting the information from the data, or the data mining applications are in urgent need. Among them, the association rules technology is one of the widely used. This paper adopts the Apriori algorithm to analyze the Web structure data mining for association rules, and the resulting rules reflect the page link between the relationships. Analysis of the results reveals the pattern of user ac- cess behaviors, providing an effective decision-making basis for the security and improvement of websites.
出处
《电子科技》
2015年第9期16-18,22,共4页
Electronic Science and Technology
基金
甘肃省科技支撑计划基金资助项目(1104GKCA016)
