Exploring Web site log data with a multi-classification interface

M. Sifer
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引用次数: 7

Abstract

Many interface designs have been developed for the exploration of multidimensional data sets, many based on finding subsets by filtering attribute values independently or successively. However, many of these interfaces do not also support the use of hierarchies for selection and summarisation. We show how an interface that uses coordinated hierarchy views of data supports the exploration of such data. Our interface is demonstrated with our SGViewer tool and a Web site log dataset where visits to a Web site have been organised into time, downloads, visitor address and referrer address dimensions. A configurable nested tree visualisation is used to present each dimension hierarchy. We show how both rapid and flexible exploration of this data is supported by our interface.
使用多分类界面探索Web站点日志数据
已经开发了许多用于探索多维数据集的界面设计,其中许多是基于通过独立或连续过滤属性值来查找子集。然而,许多这些接口也不支持使用层次结构进行选择和汇总。我们将展示使用数据的协调层次视图的接口如何支持对此类数据的探索。我们的界面演示了我们的SGViewer工具和一个网站日志数据集,其中对网站的访问被组织成时间、下载、访问者地址和推荐地址维度。使用可配置的嵌套树可视化来表示每个维度层次结构。我们展示了我们的界面如何支持对这些数据的快速和灵活的探索。
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