用于Web数据可视化的交互式圆形可视化分析工具

P. Dubois, Zhao Han, Fan Jiang, C. Leung
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引用次数: 17

摘要

对频繁的网络使用模式进行可视化分析的目的是帮助用户(i)分析数据,以发现隐含的、以前未知的、潜在有用的信息,这些信息是以单个会话中频繁访问的网页集合的形式呈现的;(ii)可视化地表示发现的知识,以便深入了解数据。本文提出了一种用于频繁模式挖掘的交互式可视化分析工具(iVAT)。它使用方向自由的圆形布局来显示频繁的模式。此外,我们为用户提供交互功能,以显式显示访问过的网页集的超集和子集之间的连接。实验结果表明了我们的iVAT对web数据频繁模式的可视化分析的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Interactive Circular Visual Analytic Tool for Visualization of Web Data
Visual analytics on frequent web usage patterns aims to help users to (i) analyze the data so as to discover implicit, previously unknown and potentially useful information in the form of collections of frequently visited web pages in a single session and to (ii) visually represent the discovered knowledge so as to gain insight about the data. In this paper, we propose an interactive visual analytics tool (iVAT) for frequent pattern mining. It uses an orientation free, circular layout to show frequent patterns. Moreover, we provide users with interactive feature to explicitly show connections between superset and subsets of sets of visited web pages. Experimental results show the effectiveness of our iVAT for visual analytics of frequent patterns about web data.
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