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
收藏
页码：1 / 12
页数：11
相关论文
共 50 条
  • [1] TabuVis:A tool for visual analytics multidimensional datasets
    NGUYEN Quang Vinh
    QIAN Yu
    HUANG MaoLin
    ZHANG JiaWan
    Science China(Information Sciences), 2013, 56 (05) : 64 - 75
  • [2] TabuVis: A tool for visual analytics multidimensional datasets
    Nguyen Quang Vinh
    Qian Yu
    Huang MaoLin
    Zhang JiaWan
    SCIENCE CHINA-INFORMATION SCIENCES, 2013, 56 (05) : 1 - 12
  • [3] Interactive visual analytics tool for multidimensional quantitative and categorical data analysis
    Shahid, Muhammad Laiq Ur Rahman
    Molchanov, Vladimir
    Mir, Junaid
    Shaukat, Furqan
    Linsen, Lars
    INFORMATION VISUALIZATION, 2020, 19 (03) : 234 - 246
  • [4] Lariat: A Visual Analytics Tool for Social Media Researchers to Explore Twitter Datasets
    Chen, Nan-Chen
    Brooks, Michael
    Kocielnik, Rafal
    Hong, Sungsoo
    Smith, Jeff
    Lin, Sanny
    Qu, Zening
    Aragon, Cecilia
    PROCEEDINGS OF THE 50TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2017, : 1881 - 1890
  • [5] GeoLens: Enabling Interactive Visual Analytics over Large-scale, Multidimensional Geospatial Datasets
    Koontz, Jared
    Malensek, Matthew
    Pallickara, Sangmi Lee
    2014 IEEE/ACM INTERNATIONAL SYMPOSIUM ON BIG DATA COMPUTING (BDC), 2014, : 35 - 44
  • [6] A VISUAL ANALYTICS FRAMEWORK FOR LARGE TRANSPORTATION DATASETS
    Zhong, Chen
    Arisona, Stefan Muller
    Schmitt, Gerhard
    PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA (CAADRIA 2014): RETHINKING COMPREHENSIVE DESIGN: SPECULATIVE COUNTERCULTURE, 2014, : 223 - 232
  • [7] A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets
    Angulo, Diego A.
    Schneider, Cyril
    Oliver, James H.
    Charpak, Nathalie
    Hernandez, Jose T.
    FRONTIERS IN NEUROINFORMATICS, 2016, 10
  • [8] Interactive visual mining of massive multidimensional datasets
    Mihalisin, T
    Timlin, J
    MINING AND MODELING MASSIVE DATA SETS IN SCIENCE, ENGINEERING, AND BUSINESS WITH A SUBTHEME IN ENVIRONMENTAL STATISTICS, 1997, 29 (01): : 450 - 455
  • [9] ICE-Visual Analytics for Transportation Incident Datasets
    Pack, Michael L.
    Wongsuphasawat, Krist
    VanDaniker, Michael
    Filippova, Darya
    PROCEEDINGS OF THE 2009 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2008, : 200 - 205
  • [10] Igloo-Plot: A tool for visualization of multidimensional datasets
    Kuntal, Bhusan K.
    Ghosh, Tarini Shankar
    Mande, Sharmila S.
    GENOMICS, 2014, 103 (01) : 11 - 20
12345