DocumentCode :
2328329
Title :
Study on Intelligent E-Shopping System Based on Data Mining
Author :
Jiang, Xiaoyan ; Qian, Xianyi
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., CZU, Changzhou
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, e-commerce, related concept of data mining technologies and the realization process of data mining techniques are described. Combine data mining and guide features of e-shopping site, study intelligent shopping guide system based on data mining. Use data mining technology to guide customers to buy goods or to provide recommendations in order to provide higher quality services. Take the specific case as study object, use data mining techniques to analyze and propose solutions.
Keywords :
Internet; Web sites; data mining; electronic commerce; quality of service; retail data processing; Internet; data mining technology; e-commerce; e-shopping Web site; intelligent e-shopping system; quality service; Business; Consumer electronics; Data engineering; Data mining; Databases; Electronic commerce; Information retrieval; Intelligent systems; Internet; Search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2909-7
Electronic_ISBN :
978-1-4244-2910-3
Type :
conf
DOI :
10.1109/EBISS.2009.5138084
Filename :
5138084
Link To Document :
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