首页> 外文会议>IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies >Big Data - Characterizing an Emerging Research Field Using Topic Models
【24h】

Big Data - Characterizing an Emerging Research Field Using Topic Models

机译:大数据-使用主题模型表征新兴的研究领域

获取原文
获取外文期刊封面目录资料

摘要

Big Data is one of the latest emerging topics in the field of business information systems, and is marketed as being the key for companies' future success. Many analytic solutions are offered by IT companies to help other businesses with the flood of data that is generated within and outside of a company. Despite the extensive use of the notion Big Data for marketing purposes, there is no common understanding of how to characterize the elements of the Big Data concept. The authors contribute to the clarification of this concept with a methodologically enriched literature review by deriving characteristic dimensions from existing definitions of Big Data. These dimensions are validated and enriched with a two-step approach by applying topic models on 248 publications relevant to Big Data. The authors propose that the concept of Big Data can be described by the dimensions of data, IT infrastructure, applied methods, and an applications perspective. The assignment of the results to a generic data analysis process reveals that recent publications focus on data analysis and processing, and less attention is given to the initial data selection or the visualization and utilization of the analysis results.
机译:大数据是业务信息系统领域中最新出现的主题之一,被视为公司未来成功的关键。 IT公司提供了许多分析解决方案,以帮助其他公司处理公司内部和外部产生的大量数据。尽管出于营销目的广泛使用了“大数据”概念,但是对于如何表征“大数据”概念的要素尚无共识。作者通过从现有的大数据定义中推导特征维度,以方法论丰富的文献综述为阐明这一概念做出了贡献。通过在248个与大数据相关的出版物上应用主题模型,可以通过两步方法验证和丰富这些维度。作者提出,大数据的概念可以用数据的维度,IT基础架构,应用方法和应用程序角度来描述。将结果分配给通用数据分析过程表明,最近的出版物集中在数据分析和处理上,而对初始数据选择或分析结果的可视化和利用的关注较少。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号