The Establishment and Data Mining of Meteorological Data Warehouse

被引：0
|
作者：
Shao, Lei [1 ]
Liu, Jun [1 ]
Dong, Guoling [1 ]
Mu, Yi [1 ]
Guo, Peng [2 ]
机构：
[1] Tianjin Univ Technol, Tianjin Key Lab Cont Theory & Applicat Complicate, Tianjin 300348, Peoples R China
[2] Univ Canterbury, Dept Mech Engn, Christchurch 1, New Zealand
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014) | 2014年
关键词：
Meteorological data warehouse; Hadoop; HDFS; Hive; Naive Bayes;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Along with the continuous development of the modernization level of meteorological service, meteorological data has been steadily on the increase, which results in a higher and higher demand of meteorological department for meteorological data storage, management, and read. Through analyzing the framework of Distributed File System, Data Warehouse Tool Hive of the open source cloud platform Hadoop, the Build Process of the Hadoop meteorological cloud platform is studied. Based on Naive Bayes algorithm research, a kind of method which can transplant it to the Hadoop platform is found.
引用
收藏
页码：2049 / 2054
页数：6
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