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《Computer Engineering and Design》 2013-02
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Design and implementation of MapReduce-based data mining platform

HUANG Bin1,2,Xü Shu-ren1,PU Wei3(1.Technology Center of Software Engineering,Institute of Software,Chinese Academy of Sciences, Beijing 100190,China;2.Graduate University,Chinese Academy of Sciences,Beijing 100190,China; 3.Health Information Center of PLA,Beijing 100842,China)  
Profiting from its simplicity and high cost performance,MapReduce programming paradigm is suitable for massive parallel data processing.However,MapReduce's lacking supports for multiple data source,component reuse,and data visua-lization bring in problems such as low efficiency development and redundant coding.A new design and implementation of MapReduce-based data mining platform is proposed to give reference implementation of massive data mining,data visualization and business intelligence applications based on Hadoop.Based on this proposal,a massive data mining tool is implemented.
【Fund】: 国家科技重大专项核高基基金项目(2010ZX01042-001-001-05);; 国家科技支撑计划基金项目(2012BAH05F02、2011BAH15B03)
【CateGory Index】: TP311.13
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