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  • 标题:A Study of Data Mining with Big Data
  • 本地全文:下载
  • 作者:Dr. V.Harsha Shastri ; V.Sreeprada
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:38
  • 期号:2
  • 页码:99-103
  • DOI:10.14445/22312803/IJCTT-V38P118
  • 出版社:Seventh Sense Research Group
  • 摘要:Data has become an important part of every economy, industry, organization, business, function and individual. Big Data is a term used to identify large data sets typically whose size is larger than the typical data base. Big data introduces unique computational and statistical challenges. Big Data are at present expanding in most of the domains of engineering and science. Data mining helps to extract useful data from the huge data sets due to its volume, variability and velocity. This article presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective.
  • 关键词:Big Data; Data Mining; HACE theorem; structured and unstructured.
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