Big Data Exploration through Visual Analytics

被引：0
|
作者：
Abousalh-Neto, Nascif A.
Kazgan, Sumeyye
机构：
来源：
2012 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST) | 2012年
关键词：
Visual analytics; big data; data visualization; exploratory data analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
SAS (R) Visual Analytics Explorer is an advanced data visualization and exploratory data analysis application that is a component of the SAS Visual Analytics solution. It excels at handling big data problems like the VAST challenge. With a wide range of visual analytics features and the ability to scale to massive datasets, SAS Visual Analytics Explorer enables analysts to find patterns and relationships quickly and easily, no matter the size of their data. In this summary paper, we explain how we used SAS Visual Analytics Explorer to solve the VAST Challenge 2012 mini-challenge 1.
引用
收藏
页码：285 / 286
页数：2
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