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An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis

Crossref DOI link: https://doi.org/10.1007/s12652-018-0966-1

Published Online: 2018-08-13

Published Print: 2019-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cuzzocrea, Alfredo

Gaber, Mohamed Medhat

Fadda, Edoardo https://orcid.org/0000-0002-5599-6349
Grasso, Giorgio Mario
License Information

Text and Data Mining valid from 2018-08-13
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Article History

Received: 21 April 2018

Accepted: 6 August 2018

First Online: 13 August 2018