DocumentCode :
1790899
Title :
Analysis and Application of Consumer Features with Cloud Computing and Data Mining Technology
Author :
Zhang Hai-Jian
Author_Institution :
Beijing Inf. Technol. Coll., Beijing, China
fYear :
2014
fDate :
25-26 Oct. 2014
Firstpage :
84
Lastpage :
87
Abstract :
With the development of Internet technology and outbreak of information revolution, "big data" has become a new keyword and is impacting on the marketing system of enterprises. The application of big data is propitious to data competitiveness construction, consumer demand insight and data innovative thinking, Cloud computing and data mining technology provide powerful supports for data mining application. It can fully mining the basic information, interests and preferences of the consumers with big data resources, which shows great value for consumer cluster subdivision and take unique strategy for each cluster. Currently, almost all the enterprises are faced with the challenges of big data. Whether enterprises can provide accurate services with appropriate technology becomes the key to success under the large data tide. This paper firstly introduces the cloud computing and data mining technology, and then shows several cases of consumer features mining.
Keywords :
Big Data; Internet; cloud computing; data mining; marketing data processing; Internet technology; big data; cloud computing; consumer feature mining; data mining technology; data tide; enterprises; marketing system; Big data; Cloud computing; Data mining; Equations; Mathematical model; Servers; Big Data; Business Value; Cloud Computing; Consumer Feature; Data Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
Type :
conf
DOI :
10.1109/ICICTA.2014.28
Filename :
7003491
Link To Document :
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