Clustering-based spatio-temporal analysis of big atmospheric data

Alfredo Cuzzocrea; Mohamed Medhat Gaber; Staci Lattimer; Giorgio Mario Grasso

doi:10.1145/2896387.2900326

Clustering-based spatio-temporal analysis of big atmospheric data

Alfredo Cuzzocrea
, Mohamed Medhat Gaber
, Staci Lattimer
, Giorgio Mario Grasso

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016
Editors	Lyamine Guezouli, Homero Toral Cruz, Faouzi Hidoussi, Djallel Eddine Boubiche, Ahcene Bounceur
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450340632
DOIs	https://doi.org/10.1145/2896387.2900326
Publication status	Published (VoR) - 22 Mar 2016
Event	International Conference on Internet of Things and Cloud Computing, ICC 2016 - Cambridge, United Kingdom Duration: 22 Mar 2016 → 23 Mar 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	22-23-March-2016

Conference

Conference	International Conference on Internet of Things and Cloud Computing, ICC 2016
Country/Territory	United Kingdom
City	Cambridge
Period	22/03/16 → 23/03/16

Keywords

Big data mining
Big environmental and atmospheric data
Clustering-based spatio-temporal analysis of big data

Access to Document

10.1145/2896387.2900326

Cite this

Cuzzocrea, A., Gaber, M. M., Lattimer, S., & Grasso, G. M. (2016). Clustering-based spatio-temporal analysis of big atmospheric data. In L. Guezouli, H. T. Cruz, F. Hidoussi, D. E. Boubiche, & A. Bounceur (Eds.), Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016 Article a74 (ACM International Conference Proceeding Series; Vol. 22-23-March-2016). Association for Computing Machinery. https://doi.org/10.1145/2896387.2900326

Cuzzocrea, Alfredo ; Gaber, Mohamed Medhat ; Lattimer, Staci et al. / Clustering-based spatio-temporal analysis of big atmospheric data. Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016. editor / Lyamine Guezouli ; Homero Toral Cruz ; Faouzi Hidoussi ; Djallel Eddine Boubiche ; Ahcene Bounceur. Association for Computing Machinery, 2016. (ACM International Conference Proceeding Series).

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title = "Clustering-based spatio-temporal analysis of big atmospheric data",

keywords = "Big data mining, Big environmental and atmospheric data, Clustering-based spatio-temporal analysis of big data",

author = "Alfredo Cuzzocrea and Gaber, \{Mohamed Medhat\} and Staci Lattimer and Grasso, \{Giorgio Mario\}",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; International Conference on Internet of Things and Cloud Computing, ICC 2016 ; Conference date: 22-03-2016 Through 23-03-2016",

year = "2016",

month = mar,

day = "22",

doi = "10.1145/2896387.2900326",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

editor = "Lyamine Guezouli and Cruz, \{Homero Toral\} and Faouzi Hidoussi and Boubiche, \{Djallel Eddine\} and Ahcene Bounceur",

booktitle = "Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016",

}

Cuzzocrea, A, Gaber, MM, Lattimer, S & Grasso, GM 2016, Clustering-based spatio-temporal analysis of big atmospheric data. in L Guezouli, HT Cruz, F Hidoussi, DE Boubiche & A Bounceur (eds), Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016., a74, ACM International Conference Proceeding Series, vol. 22-23-March-2016, Association for Computing Machinery, International Conference on Internet of Things and Cloud Computing, ICC 2016, Cambridge, United Kingdom, 22/03/16. https://doi.org/10.1145/2896387.2900326

Clustering-based spatio-temporal analysis of big atmospheric data. / Cuzzocrea, Alfredo; Gaber, Mohamed Medhat; Lattimer, Staci et al.
Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016. ed. / Lyamine Guezouli; Homero Toral Cruz; Faouzi Hidoussi; Djallel Eddine Boubiche; Ahcene Bounceur. Association for Computing Machinery, 2016. a74 (ACM International Conference Proceeding Series; Vol. 22-23-March-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Clustering-based spatio-temporal analysis of big atmospheric data

AU - Cuzzocrea, Alfredo

AU - Gaber, Mohamed Medhat

AU - Lattimer, Staci

AU - Grasso, Giorgio Mario

PY - 2016/3/22

Y1 - 2016/3/22

KW - Big data mining

KW - Big environmental and atmospheric data

KW - Clustering-based spatio-temporal analysis of big data

UR - https://www.scopus.com/pages/publications/84976471372

UR - https://www.scopus.com/pages/publications/84976471372#tab=citedBy

U2 - 10.1145/2896387.2900326

DO - 10.1145/2896387.2900326

M3 - Conference contribution

AN - SCOPUS:84976471372

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016

A2 - Guezouli, Lyamine

A2 - Cruz, Homero Toral

A2 - Hidoussi, Faouzi

A2 - Boubiche, Djallel Eddine

A2 - Bounceur, Ahcene

PB - Association for Computing Machinery

T2 - International Conference on Internet of Things and Cloud Computing, ICC 2016

Y2 - 22 March 2016 through 23 March 2016

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Cuzzocrea A, Gaber MM, Lattimer S, Grasso GM. Clustering-based spatio-temporal analysis of big atmospheric data. In Guezouli L, Cruz HT, Hidoussi F, Boubiche DE, Bounceur A, editors, Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC 2016. Association for Computing Machinery. 2016. a74. (ACM International Conference Proceeding Series). doi: 10.1145/2896387.2900326

Clustering-based spatio-temporal analysis of big atmospheric data

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