TY - JOUR
T1 - An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis
AU - Cuzzocrea, Alfredo
AU - Gaber, Mohamed Medhat
AU - Fadda, Edoardo
AU - Grasso, Giorgio Mario
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/8/13
Y1 - 2018/8/13
KW - Big data mining
KW - Big environmental and atmospheric data
KW - Clustering-based spatio-temporal analysis of big data
UR - http://www.scopus.com/inward/record.url?scp=85051648219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051648219&partnerID=8YFLogxK
U2 - 10.1007/s12652-018-0966-1
DO - 10.1007/s12652-018-0966-1
M3 - Article
AN - SCOPUS:85051648219
SN - 1868-5137
JO - Journal of Ambient Intelligence and Humanized Computing
JF - Journal of Ambient Intelligence and Humanized Computing
ER -