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文章基本信息

  • 标题:Exploring and Evaluating the Impact of the Veracity of Big Data Sources
  • 本地全文:下载
  • 作者:Bayan Hazaa AlDoaies ; Anhar Maatoq Ashi ; Fahd S. Alotaibi
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2017
  • 卷号:6
  • 期号:5
  • 页码:227-236
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:Exploring the data veracity recognized as one of the significant challenges in the big data sources. The veracity is an aspect of big data that deals with correctness and trustworthiness. In fact, it’s hard to obtain the truth of big data in Website, and social media platform which has a rich volume of information with surpassing conflict. In this paper, we proposed a comparison between veracity models which have studied in both Website and Twitter platform. In a comparison, the several criteria had been demonstrated, as verification aspects, working flow, trust score, accuracy, security, usability, and time-consuming. Thus, each model has its attributes and an approach to extract the data veracity based on the used platform. Consequently, the models' approach defines the way of evaluating the impact of the credibility on the big data.
  • 关键词:Big data; Veracity; Data trustworthiness; Credibility; Trust;score; Accuracy; Verification aspects;
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