FIsViz: A Frequent Itemset Visualizer

FIsViz: A Frequent Itemset Visualizer
复制标题

FIsViz:频繁项集可视化工具

DOI:
10.1007/978-3-540-68125-0_60
复制
发表时间:
2008
期刊:
SIGKDD Explor.
影响因子:
--
通讯作者:
Christopher L. Carmichael
Christopher L. Carmichael
中科院分区:
--
文献类型:
--
作者:
C. Leung;Pourang Irani;Christopher L. Carmichael

文献摘要

被引文献

相似文献

自提出以来,频繁项集挖掘一直是众多研究的主题。然而,它们中的大多数以文本列表的形式返回频繁项集。“一张图片胜过千言万语”的陈词滥调主张视觉表示可以增强用户对诸如频繁项集之类的对象集合中的内在关系的理解。已经开发了许多可视化系统来可视化原始数据或挖掘结果。然而,这些系统中的大多数并不是为可视化频繁项集而设计的。在本文中,我们提出了一个频繁项集可视化(FIsViz)。FIsViz提供了许多有用的功能,使用户可以有效地看到和获得隐含的,以前未知的,潜在的有用信息,嵌入在各种现实生活中的应用程序的数据。
Since its introduction, frequent itemset mining has been the subject of numerous studies. However, most of them return frequent itemsets in the form of textual lists. The common cliche that "a picture is worth a thousand words" advocates that visual representation can enhance user understanding of the inherent relations in a collection of objects such as frequent itemsets. Many visualization systems have been developed to visualize raw data or mining results. However, most of these systems were not designed for visualizing frequent itemsets. In this paper, we propose a frequent itemset visualizer (FIsViz). FIsViz provides many useful features so that users can effectively see and obtain implicit, previously unknown, and potentially useful information that is embedded in data of various real-life applications.