DocumentCode
75209
Title
Sharpening Analytic Focus to Cope with Big Data Volume and Variety
Author
Shneiderman, Ben ; Plaisant, Catherine
Volume
35
Issue
3
fYear
2015
fDate
May-June 2015
Firstpage
10
Lastpage
14
Abstract
The growing volumes of time-stamped data available from sensors, social media sources, Web logs, and medical histories present remarkable opportunities for researchers and policy analysts. Although big data resources can provide valuable insights to help us understand complex systems and lead to better decisions for business, national security, cybersecurity, and healthcare, there are many challenges to dealing with the volume and variety of data. Data cleaning and data wrangling has received some attention with the development of application tools, but data focusing to sharpen the analytic focus remains a challenge. To address this challenge, this article provides a taxonomy of analytic focusing strategies for temporal event sequences.
Keywords
Big Data; data analysis; Big Data volume; analytic focusing strategies; data focusing; event sequences; Data visualization; Medical diagnostic imaging; Social network services; Visual analytics; analytic focusing; big data; computer graphics; data cleaning; visual analytics; visual analytics tools; visualization;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/MCG.2015.64
Filename
7111924
Link To Document