大数据:回顾

Ş. Sağiroğlu, Duygu Sinanc
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引用次数: 1146

摘要

大数据是一个术语,指的是具有庞大、更多样化和复杂结构的海量数据集,这些数据集难以存储、分析和可视化,以供进一步的过程或结果使用。对大量数据进行研究以揭示隐藏模式和秘密关联的过程,称为大数据分析。这些有用的信息有助于公司或组织获得更丰富、更深入的见解,并在竞争中获得优势。因此,需要尽可能准确地分析和执行大数据实施。本文概述了大数据的内容、范围、样本、方法、优势和挑战,并讨论了大数据带来的隐私问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data: A review
Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. This paper presents an overview of big data's content, scope, samples, methods, advantages and challenges and discusses privacy concern on it.
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