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大数据知识发现

刘文远 李少雄 王晓敏 洪文学

燕山大学学报Issue(5):377-380,4.
燕山大学学报Issue(5):377-380,4.DOI:10.3969/j.issn.1007-791X.2014.05.001

大数据知识发现

Knowledge discovery of big data

刘文远 1李少雄 2王晓敏 3洪文学2

作者信息

  • 1. 燕山大学 信息科学与工程学院,河北 秦皇岛 066004
  • 2. 燕山大学 电气工程学院,河北 秦皇岛 066004
  • 3. 东北大学秦皇岛分校 大数据可视化分析技术中心,河北 秦皇岛 066004
  • 折叠

摘要

Abstract

With the rapid development of information technology, human beings are faced with the explosive growth of data. The age of big data is here. Big data research becomes the major strategic direction and inevitable trend of today's science, economy and social development. Huge value of big data is knowledge contained in the complex structure relation network based on the cor-relation between data. Knowledge discovery of big data is a very important problem to be solved. The new core part of big data research work of Yanshan university related team is summarized in this paper. It focuses on big data partial ordered structure theory and its related works. It provides the reference for rapid and accurate understanding of the current research status of big data.

关键词

大数据/大数据价值/知识发现/偏序结构理论

Key words

big data/value of big data/knowledge discovery/partial ordered structure theory

分类

信息技术与安全科学

引用本文复制引用

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):377-380,4.

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) (61171186,61271345,61273019,61201111,61473339,81273019,81373767)

燕山大学学报

OA北大核心CSTPCD

1007-791X

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