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  • 标题:Algorithm and Approaches to Handle Large Data - A Survey
  • 本地全文:下载
  • 作者:Chanchal Yadav ; Shuliang Wang ; Manoj Kumar
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:37-41
  • 出版社:IJCSN publisher
  • 摘要:Data mining environment produces a large amount of data, thatneed to be analyzed, patterns have to be extracted from that togain knowledge. In this new era with boom of data bothstructured and unstructured, in the field of genomics,meteorology, biology, environmental research and many others,it has become difficult to process, manage and analyze patternsusing traditional databases and architectures. So, a properarchitecture should be understood to gain knowledge about theBig Data. This paper presents a review of various algorithmsfrom 1994-2013 necessary for handling such large data set.These algorithms define various structures and methodsimplemented to handle Big Data, also in the paper are listedvarious tool that were developed for analyzing them
  • 关键词:Big Data; Clustering; Data Mining
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