首页    期刊浏览 2024年11月14日 星期四
登录注册

文章基本信息

  • 标题:Issues, Challenges and Solutions : Big Data Mining
  • 本地全文:下载
  • 作者:Jaseena K.U. ; Julie M. David
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2014
  • 卷号:4
  • 期号:13
  • 页码:131-140
  • DOI:10.5121/csit.2014.41311
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Data has become an indispensable part of every economy, industry, organization, businessfunction and individual. Big Data is a term used to identify the datasets that whose size isbeyond the ability of typical database software tools to store, manage and analyze. The BigData introduce unique computational and statistical challenges, including scalability andstorage bottleneck, noise accumulation, spurious correlation and measurement errors. Thesechallenges are distinguished and require new computational and statistical paradigm. Thispaper presents the literature review about the Big data Mining and the issues and challengeswith emphasis on the distinguished features of Big Data. It also discusses some methods to dealwith big data.
  • 关键词:Big data mining; Security; Hadoop; MapReduce
国家哲学社会科学文献中心版权所有