DocumentCode :
176414
Title :
Design and implementation of data mining platform based on the cloud computing
Author :
Zhu Jia ; Zhang Ping
Author_Institution :
Shandong Inst. of Commerce & Technol., Jinan, China
fYear :
2014
fDate :
29-30 Sept. 2014
Firstpage :
163
Lastpage :
165
Abstract :
In recent years, with the rapid development of modern information technology, now the amount of data produced every 18 months is about equal to the sum of the past thousands of years and it has a rising trend. So much data will undoubtedly bring people a vast amount of information, but the difficulty of finding useful knowledge for the enterprise or individual from the vast amount of data has increased. And cloud computing platform can perform dynamic resource scheduling and allocation, with the characteristics of highly virtualization and high availability, which meets the needs of efficient data mining. The cloud computing technology combined with the existing data mining technology has been regarded as a kind of feasible way for efficiency.
Keywords :
cloud computing; data mining; dynamic scheduling; resource allocation; virtualisation; cloud computing platform; cloud computing technology; data mining platform; dynamic resource allocation; dynamic resource scheduling; information technology; virtualization; Business; Cloud computing; Computational modeling; Data mining; Data models; Distributed databases; Parallel processing; cloud computing; data mining; design and implementation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/WARTIA.2014.6976220
Filename :
6976220
Link To Document :
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