大数据时代海域综合数据挖掘分析技术探讨  

Study on sea area data mining analysis technology in big data era

作　　者：曹英志[1] 韩志聪 田洪军[1] 徐辉奋[1] CAO Ying-zhi;HAN Zhi-cong;TIAN Hong-jun;XU Hui-fen(National Marine Data and Information Service, Tianjin 300171, China)

机构地区：[1]国家海洋信息中心,天津300171

出　　处：《海洋信息》2018年第2期40-44,共5页Marine Information

摘　　要：海域综合大数据挖掘技术是新时代海域综合管理的重要发展方向。本文主要对海域大数据的数据挖掘分析技术进行了探讨,阐述了大数据及海域综合数据挖掘的相关概念及特征,以及海域综合数据挖掘分析中常用的方法及挖掘处理过程。最后探讨了基于Map Reduce的海域综合数据挖掘平台的系统架构,为后期实际开展工作奠定了技术基础。Data mining technology was an important development direction of integrated sea area management in the new era. In this paper, sea area big data mining analysis technology was studied and concept and characteristic of the big data and sea area data mining were discussed, the methods and process of sea area data mining were described. Then system architecture of the sea area data mining platform based on Map Reduce was explored, which lays a technical foundation for future research and practice.

关 键 词：大数据 海域综合管理 数据挖掘 MAPREDUCE 

分 类 号：P741[天文地球—海洋科学]