TabuVis: A tool for visual analytics multidimensional datasets

被引：0

作者：

Quang Vinh Nguyen

Yu Qian

MaoLin Huang

JiaWan Zhang

机构：

[1] University of Western Sydney,School of Computing, Engineering and Mathematics and MARCS Institute

[2] J. Craig Venter Institute,Faculty of Engineering & IT

[3] University of Technology,School of Computer Software

[4] Tianjin University,undefined

来源：

Science China Information Sciences | 2013年 / 56卷

关键词：

visual analytics; information visualization; multidimensional data analysis; clinical trial data; biomedical data; Oscars data;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper describes TabuVis, a light weight visual analytics system that provides a flexible, customizable and effective visualization for multidimensional data. Key aspects for visually analyzing data with multiple attributes are quality and appropriateness of the analytical platform whose presentation can be adjusted via domain experts. Our commercial-free and comprehensive prototype utilizes scatter-plot approach to support the visual analytics process. The system consists of multiple components enabling the complete analysis process, including data processing, automatic marks, customizable interactive visualization and filtering. We demonstrate the effectiveness of TabuVis on various case studies using medical and Oscars datasets.

引用

页码：1 / 12

页数：11

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