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Semantic Axis: exploring multi-attribute data by semantic construction and ranking analysis

机译：语义轴：通过语义构建和排序分析探索多属性数据

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摘要

Mining the distribution of features and sorting items by combined attributes are 2 common tasks in exploring and understanding multi-attribute (or multivariate) data. Up to now, few have pointed out the possibility of merging these 2 tasks into a united exploration context and the potential benefits of doing so. In this paper, we present SemanticAxis, a technique that achieves this goal by enabling analysts to build a semantic vector in two-dimensional space interactively. Essentially, the semantic vector is a linear combination of the original attributes. It can be used to represent and explain abstract concepts implied in local (outliers, clusters) or global (general pattern) features of reduced space, as well as serving as a ranking metric for its defined concepts. In order to validate the significance of combining the above 2 tasks in multi-attribute data analysis, we design and implement a visual analysis system, in which several interactive components cooperate with SemanticAxis seamlessly and expand its capacity to handle complex scenarios. We prove the effectiveness of our system and the SemanticAxis technique via 2 practical cases.
机译：通过组合属性挖掘特征和排序项目的分布是探索和理解多属性（或多变量）数据的2个常见任务。到目前为止，很少有人指出将这2个任务合并到联合探索背景下，以及这样做的潜在利益。在本文中，我们通过使分析师以交互方式在二维空间中构建语义矢量来实现这一目标的一种技术。基本上，语义矢量是原始属性的线性组合。它可用于表示和解释暗示的抽象概念，暗示了在整个空间的本地（异常值，集群）或全局（常规模式）特征，以及作为其定义概念的排名度量。为了验证在多属性数据分析中组合上述2任务的重要性，我们设计和实现了一种可视化分析系统，其中多个交互组件与SemanticAxis无缝协作，并扩展其处理复杂方案的容量。我们证明了我们的系统和Semanticaxis技术的有效性，通过2个实用案例。

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  • 来源
    《Journal of visualization》 |2021年第5期|1065-1081|共17页
  • 作者

    Zeyu Li; Changhong Zhang; Yi Zhang; Jiawan Zhang;

  • 作者单位

    College of Intelligence and Computing Tianjin University Tianjin China;

    College of Intelligence and Computing Tianjin University Tianjin China;

    College of Intelligence and Computing Tianjin University Tianjin China;

    College of Intelligence and Computing Tianjin University Tianjin China Tianjin Cultural Heritage Conservation and Inheritance Engineering Technology Center Tianjin University Tianjin China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multivariable data; Multi-attribute rankings; Dimension reduction; Semantic modeling;

    机译：多变量数据;多属性排名;尺寸减少;语义建模;

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