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  • 标题:Visualizing Big Data Mining: Challenges, Problems and Opportunities
  • 本地全文:下载
  • 作者:Rakesh Ranjan Kumar ; Binita Kumari
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:4
  • 页码:3933-3937
  • 出版社:TechScience Publications
  • 摘要:Big Data is fast becoming a big problem since last year. Big data refers to datasets which has large size and complexity. We can’t capture, store, manage and analyze with typical database software tools. Data mining is highlighted buzzword that is used to describe the range of Big data analytics, with collection, extraction, analysis and statics. Big Data mining involves to extracting useful information from these huge sets of data and streams of data, due to its volume, velocity and variety. This paper describes an overview of Big Data mining, problems related to mining and the new opportunities. During discussion we include platform and framework for managing and processing large data sets. We also discuss the knowledge discovery process, data mining, and various open source tools with current condition, issues and forecast to the future.
  • 关键词:Data mining; Big data; Big data mining; Big data;management; Knowledge discovery; Data mining tools.
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