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Discussion of 'Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues'

机译:讨论“分析行为大数据:方法,实践,道德和道德问题”

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摘要

There is no doubt that we live in the era of big data. More than ever before, we are encountering large volumes of streaming data in our lives. Real-world applications such as telecommunications, health care, pharmaceutical, or financial businesses generate massive amounts of data round the clock (del Rio et al. 2014). Taking web social media alone, for instance, todays customer is estimated to generate 2.5 quintil-lion bytes of data per day between tweets, likes, comments, blogs, videos, and images (Strong 2015). These data contain abundant detailed information revealing individual behaviors and interactions, and these are an example of Behavioral Big Data (BBD). In the excellent BBD review article, Dr. Shmueli discusses a fascinating collection of examples covering a wide variety of applications as well as opportunities and challenges coming along with BBD.
机译:毫无疑问,我们生活在大数据时代。与以往相比,我们在生活中遇到了大量的流数据。电信,医疗保健,制药或金融业务等现实应用全天候生成大量数据(del Rio等人,2014)。例如,仅以网络社交媒体为例,估计今天的客户每天在推文,喜欢,评论,博客,视频和图像之间生成2.5 quinl-lion字节的数据(Strong 2015)。这些数据包含丰富的详细信息,这些信息揭示了各个行为和相互作用,这些都是行为大数据(BBD)的示例。在出色的BBD评论文章中,Shmueli博士讨论了一系列有趣的示例,这些示例涵盖了各种应用以及BBD带来的机遇和挑战。

著录项

  • 来源
    《Quality engineering》 |2017年第1期|79-83|共5页
  • 作者

    Kwok Leung Tsui; Yang Zhao;

  • 作者单位

    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong;

    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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