Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field

被引:29
|
作者
Behrisch, Michael [1 ]
Streeb, Dirk [2 ]
Stoffel, Florian [2 ]
Seebacher, Daniel [2 ]
Matejek, Brian [1 ]
Weber, Stefan Hagen [3 ]
Mittelstaedt, Sebastian [3 ]
Pfister, Hanspeter [1 ]
Keim, Daniel [2 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
[2] Univ Konstanz, D-78464 Constance, Germany
[3] Siemens AG, Corp Res Germany, D-80333 Munich, Germany
关键词
System comparison; commercial landscape; visual analytics research; advances; development roadmap; IMAGE RETRIEVAL; VISUALIZATION; TIME; EXPLORATION; DESIGN; PROJECTIONS; KNOWLEDGE; FRAMEWORK; GUIDANCE; MODEL;
D O I
10.1109/TVCG.2018.2859973
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field. We build on the success of the 2012 survey, which was influential even beyond the boundaries of the InfoVis and Visual Analytics (VA) community. While the field has matured significantly since the original survey, we find that innovation and research-driven development are increasingly sacrificed to satisfy a wide range of user groups. We evaluate new product versions on established evaluation criteria, such as available features, performance, and usability, to extend on and assure comparability with the previous survey. We also investigate previously unavailable products to paint a more complete picture of the commercial VA landscape. Furthermore, we introduce novel measures, like suitability for specific user groups and the ability to handle complex data types, and undertake a new case study to highlight innovative features. We explore the achievements in the commercial sector in addressing VA challenges and propose novel developments that should be on systems' roadmaps in the coming years.
引用
收藏
页码:3011 / 3031
页数:21
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