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文章基本信息

  • 标题:Text Mining and Knowledge Discovery from Big Data: Challenges and Promise
  • 本地全文:下载
  • 作者:Amal Mahmoud Yehia ; Lamiaa Fattouh Ibrahim ; Maysoon Fouad Abulkhair
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2016
  • 卷号:13
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:With the fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents text mining and the ways used to categorize document structure techniques in big data. This subject poses a big challenge when it comes to guaranteeing the quality of extracted features in text documents to describe user interests or preferences due to large amounts of noise. This subject has many models and algorithms but still needs more to achieve best results for users, making this an open issue that needs more research.
  • 关键词:Text mining ; Big Data ; Knowledge Discovery
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