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Web usage mining of organisational web sites

机译:组织网站的Web使用挖掘

摘要

Web Usage Mining (WUM) can be used to determine whether the information architecture of a web site is structured correctly. Existing WUM tools however, do not indicate which web usage mining algorithms are used or provide effective graphical visualisations of the results obtained. WUM techniques can be used to determine typical navigation patterns of the users of organisational web sites. An organisational web site can be described as a site which has a high level of content. The Computer Science & Information Systems (CS&IS) web site at the Nelson Mandela Metropolitan University (NMMU) is an example of such a web site. The process of combining WUM and information visualisation techniques in order to discover useful information about web usage patterns is called visual web mining. The goal of this research is to discuss the development of a WUM model and a prototype, called WebPatterns, which allows the user to effectively visualise web usage patterns of an organisational web site. This will facilitate determining whether the information architecture of the CS&IS web site is structured correctly. The WUM algorithms used in WebPatterns are association rule mining and sequence analysis. The purpose of association rule mining is to discover relationships between different web pages within a web site. Sequence analysis is used to determine the longest time ordered paths that satisfy a user specified minimum frequency. A radial tree layout is used in WebPatterns to visualise the static structure of the organisational web site. The structure of the web site is laid out radially, with the home page in the middle and other pages positioned in circles at various levels around it. Colour and other visual cues are used to show the results of the WUM algorithms. User testing was used to determine the effectiveness and usefulness of WebPatterns for visualising web usage patterns. The results of the user testing clearly show that the participants were highly satisfied with the visual design and information provided by WebPatterns. All the participants also indicated that they would like to use WebPatterns in the future. Analysis of the web usage patterns presented by WebPatterns was used to determine that the information architecture of the CS&IS web site can be restructured to better facilitate information retrieval. Changes to the CS&IS web site web were suggested, included placing embedded hyperlinks on the home page to the frequently accessed sections of the web site.
机译:Web使用挖掘(WUM)可用于确定网站的信息体系结构是否正确。但是,现有的WUM工具没有指出使用了哪些Web使用挖掘算法,也没有提供所获得结果的有效图形可视化效果。 WUM技术可用于确定组织网站用户的典型导航模式。组织网站可以被描述为具有高水平内容的网站。纳尔逊·曼德拉城市大学(NMMU)的计算机科学与信息系统(CS&IS)网站就是这样一个网站的示例。结合WUM和信息可视化技术以发现有关Web使用模式的有用信息的过程称为可视Web挖掘。这项研究的目的是讨论WUM模型和称为WebPatterns的原型的开发,该模型使用户可以有效地可视化组织网站的Web使用模式。这将有助于确定CS&IS网站的信息体系结构是否正确。 WebPatterns中使用的WUM算法是关联规则挖掘和序列分析。关联规则挖掘的目的是发现网站中不同网页之间的关系。序列分析用于确定满足用户指定的最小频率的最长时间排序路径。 WebPatterns中使用放射状树形布局来可视化组织网站的静态结构。网站的结构呈放射状布置,主页位于中间,其他页面则以圆形排列在其周围的各个位置。颜色和其他视觉提示用于显示WUM算法的结果。用户测试用于确定WebPatterns可视化Web使用模式的有效性和实用性。用户测试的结果清楚地表明,参与者对WebPatterns提供的视觉设计和信息非常满意。所有参与者还表示,他们将来希望使用WebPatterns。通过对WebPatterns提出的Web使用模式的分析,可以确定CS&IS网站的信息体系结构可以进行重组,以更好地促进信息检索。建议对CS&IS网站的网站进行更改,包括在主页上放置嵌入的超链接,以指向网站的频繁访问部分。

著录项

  • 作者

    Oosthuizen Craig Peter;

  • 作者单位
  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
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