Big data analytics: a survey

作者：Chun‐Wei Tsai, Chin‐Feng Lai, Han‐Chieh Chao, Athanasios V. Vasilakos · 发表于：Journal Of Big Data · 年份：2015 · DOI：10.1186/s40537-015-0030-3 · 被引用次数：813 · 研究领域：Data Mining Algorithms and Applications、Big Data and Business Intelligence、Data Stream Mining Techniques

The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data. To deeply discuss this issue, this paper begins with a brief introduction to data analytics, followed by the discussions of big data analytics. Some important open issues and further research directions will also be presented for the next step of big data analytics.