【作者】 张龙翔；

【导师】 贾作皆；

【作者基本信息】 山东科技大学 ， 软件工程， 2004， 硕士

【摘要】 如何让Internet更好地为人类服务，是未来几年的一个真正挑战。一方面是人们对快速、准确而全面获取信息的渴望，而另一方面却是Internet上信息的纷繁芜杂，在这两者之间架设一座桥梁的确是一个巨大的挑战。作为从浩瀚的Web信息资源中发现潜在的有价值知识的一种有效技术。Web挖掘正悄然兴起，倍受关注。目前Web挖掘的研究正处于发展阶段，尚无统一的结论，需要国内外学者在理论上开展更多的讨论。 Web日志数据是记录用户对Web站点访问信息的数据，保存有大量的路径信息，对这些信息的分析有利于设计人员掌握用户的喜好和访问习惯，并可以用来对网站的结构进行优化和页面重组。所以产生了Web日志挖掘。 本文首先介绍了Web日志挖掘的有关背景和相关概念。 然后研究了Web日志挖掘中的相关技术，在以下几方面进行了改进：(1)在Web日志预处理技术的研究中提出了一种改善预处理结果的方法——Frame页面过滤技术；(2)关联规则挖掘是数据挖掘研究中的一个热点，在本文的研究中综合了一个高兴趣度的频繁访问页组所需满足的一些基本条件，然后针对这些条件，提出了一个基于传统关联规则的提高挖掘结果的兴趣度的频繁访问页组加强算法。 最后用实验证明改进过的过滤技术与挖掘算法比传统数据挖掘技术更适合应用于Web日志方面的挖掘。更多还原

【Abstract】 It’s a real challenge for us to make Internet easier to use.The information in Internet is in short of organization.and full of a mass of pages,and on the other side,people want to obtain the information quickly and accurately.With the flood of information on the Web,Web mining is a new research issue which draws great interest from many communities.Currently,there is no agreement about Web mining yet.It needs more discussion among scientists in order to define what it is exactly.Web usage data are written down to the user to the data that Web site visited the information,keep a large amount of route information,At these the analyses of information help designer know to fond of and visit and used to it user,And can use and optimize recombinating with the page to the structure of the Web site.So has produced Web usage mining.At first This paper has introduced relevant backgrounds and relevant concepts of Web usage mining.Then research the relevant technologieses of Web usage mining,and tries to improve it in the following aspects: (1)Have proposed during the research of Web usage preprocesstechnology that one kind improves result method of preprocessed--frame page filterstechnology; (2)Association rule mining is a focus of data mining studying,have synthesized one some satisfied primary conditions of need of frequent access page group of interest degree high during the research of this paper,at these condition,propose one frequent access page group strengthens algorithms by improvements group of the interests of result on the basis of tradition association.At last prove with the experiment that the filtration technology improved more suitable for applying with the algorithm of Web usage mining more than the traditional data mining.更多还原