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引用次数: 0

摘要

关联规则挖掘能够发现大型数据库中变量之间的关系,因此已在许多领域得到广泛应用。然而,关联规则挖掘的一个主要缺点是,它试图生成大量规则,却不能保证这些规则在现实世界中是有意义的。针对关联规则提出了许多可视化技术。这些技术旨在提供所有规则的全局概览,从而找出最有意义的规则。然而,使用这些可视化技术来搜索特定的规则就变得非常具有挑战性,尤其是当规则的数量非常庞大时。在本研究中,我们开发了一种名为 InterVisAR 的交互式关联规则可视化技术,专门用于有效的规则搜索。我们对 24 名参与者进行了用户研究,结果表明 InterVisAR 提供了一种高效、准确的可视化解决方案。我们还验证了 InterVisAR 满足在进行规则搜索时应保证的非因子属性。由于 InterVisAR 在关联规则搜索中提供了更舒适、更令人愉悦的可视化效果,所有参与者都对 InterVisAR 表示了高度偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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InterVisAR: An Interactive Visualization for Association Rule Search.

Association rule mining has been utilized extensively in many areas because it has the ability to discover relationships among variables in large databases. However, one main drawback of association rule mining is that it attempts to generate a large number of rules and does not guarantee that the rules are meaningful in the real world. Many visualization techniques have been proposed for association rules. These techniques were designed to provide a global overview of all rules so as to identify the most meaningful rules. However, using these visualization techniques to search for specific rules becomes challenging especially when the volume of rules is extremely large. In this study, we have developed an interactive association rule visualization technique, called InterVisAR, specifically designed for effective rule search. We conducted a user study with 24 participants, and the results demonstrated that InterVisAR provides an efficient and accurate visualization solution. We also verified that InterVisAR satisfies a non-factorial property that should be guaranteed in performing rule search. All participants also expressed high preference towards InterVisAR as it provides a more comfortable and pleasing visualization in association rule search.

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