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基于访问日志的自适应站点的研究

Research on the Adaptive Web Sites Based-on Access Log

【作者】 马相华

【导师】 陈玉华;

【作者基本信息】 大连海事大学 , 计算机应用技术, 2008, 硕士

【摘要】 目前Web数据挖掘的研究有很大一部分集中在Web日志挖掘上。Web站点的日志记录了Web站点浏览者的所有动作,通过对这些记录进行挖掘,找出浏览者的喜好,对Web站点的优化有指导意义。现有的Web站点都是以“网页”为中心,即用户必须根据所访问站点的拓扑结构来寻找自己所需要的信息,对于用户来说那些仅起到“导航”作用的页面并没有什么用处。为了过滤掉这些“导航”页面,提高网络服务质量,为用户提供个性化服务,人们提出了很多基于数据挖掘的Web应用,如预取技术、个性化推荐服务、自适应站点服务等。自适应站点的理论能够减少网络信息泛滥和服务缺乏个性化的问题,是网络服务更高层次的发展目标。本文研究的目的是利用Web日志挖掘理论实现网站的自适应。论文首先介绍了国内外Web日志挖掘领域的发展现状,系统地阐述了Web挖掘、Web日志挖掘的特点及过程,其次对自适应网站的特点以及设计原理与过程作了深入的研究。论文讨论了自适应网站系统构建过程中的主要步骤和关键算法,重点对Web日志数据预处理和Web日志数据挖掘做了深入研究。论文依据自适应网站的构建理论提出了一种自适应站点的设计模型,并对其各个模块进行了详细分析,同时依据海事大学服务器日志数据对文中提到的算法作了验证,证明了文中所设计的算法是正确合理的。最后运用该模型构建了一个简易的自适应网站系统,通过该系统的顺利运行验证了本文提出的自适应网站设计模型的可行性。

【Abstract】 At present, a large part of the research of Web data mining focused the log mining of website. These web logs have recorded all actions of visitors. It will have practical significance for optimize the Web site with excavate these records so that we can find the visitors’ prefer paths. Most of the existing Web sites’ center is the "Page", that is users must be based on the topological structure of the Web site they visited to find the information they need. To filter out these "navigation" pages to improve network quality of service, to provide users with personalized service, people have invented a lot of Web-based data mining applications, such as prefetching, personalized recommendation Service, adaptive Web site services and others. The theory of adaptive Web site can reduce the problem of flood information network and the lack of personalized service, which is a higher level of network service development goals.The purpose of this paper is to use Web log mining theoretical achieve Adaptive Web site. Firstly paper introduce the development of Web log mining at home and abroad, particular expatiate the characteristics and process of Web mining, Web log mining, secondly paper made in-depth studies about the characteristic of adaptive Web site and design principles. This paper focused on the pretreatment of Web Logs and Web log data mining two parts. It also put forward to a model of adaptive web sites, to each part of this model this paper give instructions in detail. And based on the research about Web log mining and in-depth study of adaptive Web Site achieves the desired results. The well operation of the system presented in this paper show this model is feasibility.Finally,using this model constructed a simple adaptive Web site,and the smooth operation of system prove that the arithmetic are correct and reasonable.

【关键词】 Web挖掘日志挖掘自适应网站
【Key words】 Web MiningLog MiningAdaptive Web Site
  • 【分类号】TP393.092
  • 【被引频次】2
  • 【下载频次】99
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