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Big data exploration through visual analytics

Nascif Abousalh‐Neto, Sumeyye Kazgan

Open publisher page 18 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Visual analytics, Computer science, Cultural analytics, Interactive visual analysis, Big data, Analytics, Visualization, Data science

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