The establishment and data mining of meteorological data warehouse

Author

Lei Shao ; Jun Liu ; Guoling Dong ; Yi Mu ; Peng Guo

Author_Institution

Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China

fYear

2014

fDate

3-6 Aug. 2014

Firstpage

2049

Lastpage

2054

Abstract

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 Naïve Bayes algorithm research, a kind of method which can transplant it to the Hadoop platform is found.

Keywords

Bayes methods; cloud computing; data mining; data warehouses; file organisation; Hadoop meteorological cloud platform; data mining; data warehouse tool Hive; distributed file system; meteorological data storage; meteorological data warehouse; meteorological service; naïve Bayes algorithm; open source cloud platform; Automation; Conferences; Mechatronics; HDFS; Hadoop; Hive; Meteorological data warehouse; Naïve Bayes;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2014 IEEE International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4799-3978-7

Type

conf

DOI

10.1109/ICMA.2014.6886019

Filename

6886019