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Author Heer, Jeffrey ♦ Kandel, Sean
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and distributed systems.
Description Affiliation: Stanford University (Heer, Jeffrey; Kandel, Sean)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 19
Issue Number 1
Page Count 5
Starting Page 50
Ending Page 54


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Source: ACM Digital Library