Hongbo Xu, Bo Chen. Network Big Data Analysis and Application Systems for National Defense Security[J]. BIG DATA RESEARCH, 2015, 1(4): 21-29.
DOI:
Hongbo Xu, Bo Chen. Network Big Data Analysis and Application Systems for National Defense Security[J]. BIG DATA RESEARCH, 2015, 1(4): 21-29. DOI: 10.11959/j.issn.2096-0271.2015038.
Network Big Data Analysis and Application Systems for National Defense Security
Based on the state of the art of big data research
a national security-oriented network big data analysis and application system was proposed
against existing problems of national security systems
such as data fragmentation
nonstandard
difficult to share
and so on.In this system
the current national security requirements and big data technologies were organic combined.It could not only play the advantages of big data technology in multi-source heterogeneous data fusion
deeply mining security information
and breaking information island
but also share the advantages of the existing business architecture and quickly producing the actual effect.Finally
a systematic introduction to the national security-oriented network big data mining and analysis technologies was given.
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references
Marx V . Biology: the big challenges of big data . Nature , 2013 , 498 ( 7453 ): 255 ~ 260
Li G J , Cheng X Q . Big data research: the major strategic areas for future science and technology, and economic and social development——research status of big data and scientific thinking . Bulletin of Chinese Academy of Sciences , 2012 , 27 ( 6 ): 647 ~ 657
中国计算机学会大数据专家委员会 . 中国大数据技术与产业发展白皮书(2013) , 2013
CCF Task Force on Big Data . White Paper on Big Data Technology and Industry Development in China(2013) , 2013
CCF Task Force on Big Data, Zhongguancun Big Data Industry Alliance . White Paper on Big Data Technology and Industry Development in China(2014) , 2014
Batini C , Cappiello C , Francalanci C , et al . Methodologies for data quality assessment and improvement . ACM Computing Surveys (CSUR) , 2009 , 41 ( 3 )
Johnson C , Moorhead R , Munzner T , et al . NIH/NSF Visualization Research Challenges Report . Los Alamitos: IEEE Computing Society , 2006
Jin X L , Wah B W , Cheng X Q , et al . Significance and challenges of big data research . Big Data Research , 2015 , 2 ( 2 ): 59 ~ 64
Yang X N , Yang Z B , Lai L J . The structure of the next generation SIGINT reconnaissance: application of the big data . Journal of CAEIT , 2013 , 8 ( 1 ): 1 ~ 7
Das S , Sismanis Y , Beyer K S , et al . Ricardo: integrating R and hadoop . Proceedings of the SIGMOD, Indianapolis, Indiana, USA , 2010 : 987 ~ 998
Wegener D , Mock M , Adranale D , et al . Toolkit-based high-performance data mining of large data on MapReduce clusters . Proceedings of the ICDM Workshop , Miami, FL, USA , 2009