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Major Research Topics in Big Data: A Literature Analysis from 2013 to 2017 Using Probabilistic Topic Models

机译:大数据的主要研究主题:2013年至2017年使用概率主题模型的文献分析

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Big data is a popular phenomenon among practitioners as well as scholars. Due to its multidisciplinary background, big data research literature includes a wide spectrum of scientific publications in various research areas. With the aim of identification of research trends in big data literature, an empirical analysis based on probabilistic topic models was performed on peer reviewed articles between 2013 and 2017. As a result of the analysis, the 24 topics demonstrating research trends was discovered. This study maps the research landscape of the big data literature over the past five years. The findings of this study may provide valuable insights to big data research communities.
机译:大数据是从业者和学者们的流行现象。由于其多学科背景,大数据研究文献包括各种研究领域的广泛的科学出版物。随着识别大数据文献中的研究趋势,对2013年至2017年之间的同行评审文章进行了基于概率主题模型的实证分析。由于分析,发现了表明研究趋势的24个主题。这项研究在过去五年中地图大数据文献的研究景观。本研究的调查结果可以为大数据研究社区提供有价值的见解。

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