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EnglishBig 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
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http://hdl.handle.net/11368/2898137| Titolo: | Multidimensional Mining of Big Social Data for Supporting Advanced Big Data Analytics |
| Autori interni: | CUZZOCREA, Alfredo Massimiliano |
| Data di pubblicazione: | 2017 |
| 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 |
| Handle: | http://hdl.handle.net/11368/2898137 |
| Appare nelle tipologie: | 4.1 Contributo in Atti Convegno (Proceeding) |
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