多维社会大数据挖掘，支持高级大数据分析

2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) Pub Date : 2017-05-01 DOI:10.23919/MIPRO.2017.7973630

A. Cuzzocrea

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引用次数: 5

摘要

如今，社交大数据无处不在。它们构成了丰富的知识来源，易于探索和挖掘，以支持高级大数据分析。多维挖掘为实现这一目标确定了一组有前途的工具。根据这一最新趋势，在本文中，我们概述了两个最先进的建议，这些建议显示了大数据分析如何在大社会数据中工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multidimensional mining of big social data for supporting advanced big data analytics

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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2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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