Mining Massive Spatiotemporal Data for Actionable Intelligence
The widespread adoption of the internet of things is producing a huge amount of spatiotemporal data. Global mobile data traffic is growing an average of 60 percent and has reached 7.2 exabytes per month in 2016. Realizing values from these data promises to improve understanding of human activities t...
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| Language: | en_US |
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The University of Arizona.
2017
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| Online Access: | http://hdl.handle.net/10150/625611 http://arizona.openrepository.com/arizona/handle/10150/625611 |