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Big data resource service platform for the internet financial industry 被引量:8

Big data resource service platform for the internet financial industry
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摘要 It is now the era of big data.Massive volumes of complex and dynamic data exist in a variety of industries,including internet finance.This paper briefly describes the current big data situation and its significance,discusses the big data resource service platform architecture that includes three levels:data resource identification and access,data resources storage and analysis,and network information service platform,and then introduces some work undertaken by our project team on big data analysis research and application of trusted transactions for internet finance. It is now the era of big data. Massive volumes of complex and dynamic data exist in a variety of indus- tries, including internet finance. This paper briefly describes the current big data situation and its significance, discusses the big data resource service platform architec- ture that includes three levels: data resource identification and access, data resources storage and analysis, and net- work information service platform, and then introduces some work undertaken by our project team on big data analysis research and application of trusted transactions for internet finance.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2014年第35期5051-5058,共8页
基金 supported by the Major Research Plan of the National Natural Science Foundation of China(91218301) the Hong Kong and Macao Cooperation Fund(2013DFM10100)
关键词 信息服务平台 金融行业 数据资源 互联网 体系结构 项目团队 数据分析 源识别 Big data Internet finance Trusted transactions Behavior certification
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  • 1Chris Anderson. The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired, 2008, 16 (7).
  • 2Albert-L~iszl6 Barab~isi. The network takeover. Nature Physics, 2012,8(1): 14-16.
  • 3Reuven Cohen, Shlomo Havlin. Scale-Free Networks Are U1- trasmall. Physical Review Letters, 2003, 90,(5 ).
  • 4Tony Hey, Stewart Tansley, Kristin Tolle (Editors). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft, 2009 October 16.
  • 5Big Data. Nature, 2008, 455(7 209): 1-136.
  • 6Dealing with data. Science, 2011,331 ( 6 018 ): 639-806.
  • 7Complexity. Nature Physics, 2012, 8( 1 ).
  • 8Big Data. ERCIM News, 2012, (89).
  • 9David Lazer, Alex Pentland, Lada Adamic et al. Computational Social Science. Science, 2009, 323 ( 5 915 ): 721-723.
  • 10The 2011 Digital Universe Study: Extracting Value from Chaos. International Data Corporation and EMC, June 2011.

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