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  • 标题:A Survey of approaches for mining large data sets
  • 本地全文:下载
  • 作者:Shweta Mishra ; Vivek Badhe
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2016
  • 卷号:5
  • 期号:5
  • 页码:16354-16358
  • DOI:10.18535/ijecs/v5i5.07
  • 出版社:IJECS
  • 摘要:Data mining environment creates a lot of information, that should be investigated, examples must be removed from that to pick up learning. In thisnew period with blast of information both organized and unstructured, in the field of genomics, meteorology, science, ecological examination andnumerous others, it has gotten to be hard to process, oversee and break down examples utilizing customary databases and architectures. Thus, alegitimate structural engineering ought to be comprehended to pick up information about the Big Data.This paper presents a review of variousalgorithms from necessary for handling such large data set. These algorithms define various structures and methods implemented to handle BigData, also in the paper are listed various tool that were developed for analyzing them.
  • 关键词:Big Data; Clustering; Data Mining
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