可视化和发现web导航模式

Jiyang Chen, Lisheng Sun, Osmar R Zaiane, R. Goebel
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引用次数: 47

摘要

网站结构分析起来很复杂。交叉引用web结构和导航行为增加了分析的复杂性。然而,这种复杂的分析对于发现有用的模式和了解网站访问者的导航行为是必要的,无论是改善网站结构,提供智能在线工具还是为人类决策者提供支持。此外,通常需要对web访问日志进行交互式调查,因为它允许对非先验已知的模式进行特别的发现和检查。已经为这项任务提供了各种可视化工具,但它们通常缺乏方便地生成新模式的功能。在本文中,我们提出了一个可视化的工具,以可视化的网络图形,表示网络结构覆盖的信息和模式层。我们还提出了一个网络图代数来操作和组合网络图及其层,以便以一种特殊的方式发现新的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing and discovering web navigational patterns
Web site structures are complex to analyze. Cross-referencing the web structure with navigational behaviour adds to the complexity of the analysis. However, this convoluted analysis is necessary to discover useful patterns and understand the navigational behaviour of web site visitors, whether to improve web site structures, provide intelligent on-line tools or offer support to human decision makers. Moreover, interactive investigation of web access logs is often desired since it allows ad hoc discovery and examination of patterns not a priori known. Various visualization tools have been provided for this task but they often lack the functionality to conveniently generate new patterns. In this paper we propose a visualization tool to visualize web graphs, representations of web structure overlaid with information and pattern tiers. We also propose a web graph algebra to manipulate and combine web graphs and their layers in order to discover new patterns in an ad hoc manner.
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