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  • 标题:A Survey on Big Data, Data Mining and Overlay Based Parallel Data Mining
  • 本地全文:下载
  • 作者:Pushpanjali ; Jyothi S Nayak
  • 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:2
  • 页码:1535-1538
  • 出版社:TechScience Publications
  • 摘要:The main goal of the data mining process is to extract useful information from Big Data set and transform it into an understandable form for further use. It was not possible to extract useful information from the large datasets or data streams. Now this can be achieved by the capability of Big Data Mining. The overlay- based parallel data mining architecture executes processing by employing the overlay network and fully distributed data management, which can achieve high scalability and service availability. In case of the physical network disruption, an overlay-based parallel mining architecture is not capable of providing data mining services if router/communication line breakdowns, because of this, numerous nodes are removed from the overlay network. An overlay network construction scheme based on physical network structure, including nodes location and a distributed task allocation scheme using overlay network technology is done to overcome with this issue. In this survey paper, a review of Overlay based parallel data mining and its different technologies are studied
  • 关键词:Data Mining; Big Data; Overlay-based; service;availability; physical network disruption
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