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Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

机译:下一代大数据分析:最新技术,挑战和未来研究主题

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摘要

The term big data occurs more frequently now than ever before. A large number of fields and subjects, ranging from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversified types, issues, and solutions for big data more than ever before. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.
机译:现在,“大数据”一词比以往更频繁地出现。从日常生活到传统研究领域(即地理和交通,生物学和化学,医学和康复)的众多领域和主题涉及大数据问题。各种类型网络的普及比以往任何时候都更加分散了大数据的类型,问题和解决方案。在本文中,我们回顾了有关数据类型,存储模型,隐私,数据安全性,分析方法以及与网络大数据相关的应用程序的最新研究。最后,我们总结了大数据的挑战和发展,以预测当前和未来的趋势。

著录项

  • 来源
    《IEEE transactions on industrial informatics》 |2017年第4期|1891-1899|共9页
  • 作者单位

    Virtual Environments and Computer Graphics Group, University College London, London, U.K.;

    Department of Electrical and Computer Engineering, West Virginia University, Montgomery, WV, USA;

    Telematics Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain;

    Department of Computer Science, University College London, London, U.K.;

    Department of Computer Convergence Software, Korea University, Sejong, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Big data; massive data; network;

    机译:大数据;海量数据;网络;

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