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

Alfredo Cuzzocrea, Mohamed Medhat Gaber, Edoardo Fadda*, Giorgio Mario Grasso

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    17 Citations (SciVal)
    Original languageEnglish
    JournalJournal of Ambient Intelligence and Humanized Computing
    DOIs
    Publication statusPublished (VoR) - 13 Aug 2018

    Keywords

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

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