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大数据知识发现
引用本文:刘文远,李少雄,王晓敏,洪文学.大数据知识发现[J].燕山大学学报,2014(5):377-380.
作者姓名:刘文远  李少雄  王晓敏  洪文学
作者单位:燕山大学信息科学与工程学院;燕山大学电气工程学院;东北大学秦皇岛分校大数据可视化分析技术中心;
基金项目:国家自然科学基金资助项目(61171186,61271345,61273019,61201111,61473339,81273019,81373767);河北省自然科学基金资助项目(F2013203368)
摘    要:随着信息技术的快速发展,人类面临的数据呈爆炸式增长,大数据的时代已经来临.大数据研究成为当今科学和经济社会发展的重大战略方向和必然趋势.大数据的巨大价值在于依据数据间关联性而建立的复杂结构关系网络中所蕴含的知识.大数据知识发现是一个非常重要和亟待解决的问题.本文总结了以燕山大学为核心的大数据研究团队部分最新工作,重点给出了大数据偏序结构理论及其相关工作的简要介绍,为快速、准确了解该团队的研究现状提供参考.

关 键 词:大数据  大数据价值  知识发现  偏序结构理论

Knowledge discovery of big data
Institution:LIU Wen-yuan, LI Shao-xiong, WANG Xiao-min, HONG Wen-xue(1. College of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China;2. College ofElectrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China; 3. Big Data Visualization Technology Center,Northeastern University at Qinhuangdao, Qinhuangdao, Hebei 066004, China)
Abstract:With the rapid development of information technology, human beings are faced with the explosive growth of data. Theage of big data is here. Big data research becomes the major strategic direction and inevitable trend of today's science, economyand social development. Huge value of big data is knowledge contained in the complex structure relation network based on the correlationbetween data. Knowledge discovery of big data is a very important problem to be solved. The new core part of big dataresearch work of Yanshan university related teamis summarized in this paper. It focuses on big data partial ordered structure theoryand its related works. It provides the reference for rapid and accurate understanding of the current research status of big data.
Keywords:big data  value of big data  knowledge discovery  partial ordered structure theory
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