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Multidimensional Mining of Big Social Data for Supporting Advanced Big Data Analytics

CUZZOCREA, Alfredo Massimiliano
2017
  • conference object

Abstract
Big social data are now everywhere. They constitute a rich source of knowledge that is prone to be explored and mined in order to support advanced big data analytics. Multidimensional mining identifies a promising collection of tools to this end. Following this recent trend, in this paper, we provide an overview on two state-of-the-art proposals that show how big data analytics over big social data work in practice
DOI
10.23919/MIPRO.2017.7973630
WOS
WOS:000426903800233
Archivio
http://hdl.handle.net/11368/2898137
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85027730200
http://ieeexplore.ieee.org/document/7973630/
Diritti
closed access
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2898137
Soggetti
  • Scalable Big Data Ana...

Scopus© citazioni
4
Data di acquisizione
Jun 7, 2022
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Visualizzazioni
5
Data di acquisizione
Apr 19, 2024
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