Extending the attribute explorer to support professional team-sport analysis

Paer-Anders Albinsson; Dennis Andersson

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Extending the attribute explorer to support professional team-sport analysis

机译：扩展属性浏览器以支持专业的团队运动分析

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Advances in interactive systems and the ability to manage increasing amounts of high-dimensional data provide new opportunities in numerous domains. Information visualization techniques are especially useful in situations where analysts seek patterns and information of interest in massive data sets. In this article, we propose an extension of the original Attribute Explorer (AE) technique by Spence and colleagues to take on the challenges presented in the domain of professional team-sport analysis. We describe the implementation of an extended AE and use football game-event data to highlight the new possibilities.

机译：交互式系统的进步以及管理不断增长的高维数据的能力为众多领域提供了新的机遇。信息可视化技术在分析师寻求海量数据集中的模式和信息的情况下特别有用。在本文中，我们提出了Spence及其同事对原始属性浏览器（AE）技术的扩展，以应对专业团队运动分析领域中提出的挑战。我们描述了扩展AE的实现，并使用足球比赛事件数据突出显示了新的可能性。

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来源
《Information visualization》 |2008年第2期|p.163-169|共7页
作者
Paer-Anders Albinsson; Dennis Andersson;
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作者单位

Division of Command and Control Systems, Swedish Defence Research Agency, Linkoeping, Sweden;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
attribute explorer; team-sport analysis;

机译：属性资源管理器;团队运动分析;

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Extending the attribute explorer to support professional team-sport analysis

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