Title :
Big data exploration through visual analytics
Author :
Abousalh-Neto, Nascif A. ; Kazgan, Sumeyye
Author_Institution :
SAS Institute
Abstract :
SAS® 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 patt er n s 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 minichallenge 1.
Keywords :
Visual analytics; big data; data visualization; exploratory data analysis;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
DOI :
10.1109/VAST.2012.6400514