基于Web-log频繁浏览路径挖掘技术分析与实现

发布时间：2018-02-16 21:27

本文关键词： Web日志浏览兴趣度 Web浏览树频繁浏览路径数据挖掘　出处：《电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：在Web站点的日志数据上记录了用户对Web站点进行访问时大量的信息,利用了Web网站的日志,节能型研究频繁的浏览器的工作路径,在目前为止已成为了Web网站的日志可挖掘的最热门的课题之一。频繁的浏览器的路径的挖掘是对Web站点进行挖掘时的一个很重要的研究领域,对商业领域的决策、对改善相关网站的建设等,都是对web有着很现实的具有指导性的重要意义。本次设计论文结合了国内某个著名的网站,通过对其服务器的用户网络日志的进行探讨研究,并且对频繁路径算法进行分析和比较。本次的论文从理论上大胆的提出了一种新的频繁浏览路径的方法,即对于Web日志挖掘的用户,则兴趣度是通过算术法进行求解,并且基本元素通过对浏览的兴趣度,根据浏览树作为测试算法。即可实现数据结构的数据挖掘。讲述了实现过程是频繁路径的测试算法运行得来的。应用频繁浏览路径的算法可以让网站能够调整结构,以便于更好地与分析消费者的需求,使网站导航或其他版块以及重组网站的结构提供了强大的可行性的方案。论文通过测试算法运用,不仅仅在求解页面的浏览的兴趣度的方法上进行了具有创新性的改进,并且大大的提高了其路径精准度和合理实施性。经过实验得出证明,使测试算法的结果具有真实性和全面性。同时在经过了实际的应用后,也收到了良好的效果。
[Abstract]:A lot of information is recorded on the log data of the Web site when the user visits the Web site, and the log of the Web site is used to study the work path of the browser with frequent energy saving research. Up to now, it has become one of the most popular topics for Web Web sites to mine logs. Mining the paths of frequent browsers is a very important research area for mining Web sites. To improve the construction of related websites, all of them are of practical and instructive significance to web. This design paper combines some famous websites in our country and discusses the user log of its server. In this paper, a new method of frequent browsing path is proposed, that is, for the users of Web log mining, the interest degree is solved by arithmetic method. And the basic elements are based on the degree of interest in browsing, According to the browsing tree as the test algorithm, we can realize the data mining of the data structure. The realization process is run by the test algorithm of frequent path. The algorithm of frequent browsing path can make the website adjust its structure. In order to facilitate better analysis of consumer needs, so that the site navigation or other sections and reorganization of the structure of the site to provide a strong feasibility of the solution. Not only has the method of calculating the interest of page browsing been innovatively improved, but also its path accuracy and reasonable implementation have been greatly improved. The result of the test algorithm is authentic and comprehensive, and it also has good effect after practical application.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.13;TP393.092

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