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.
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