DocumentCode :
2407242
Title :
Research and Application of Data Mining Technique in E-commerce
Author :
Li, Dao-Quan ; Yang, Hua ; Li, Li-Li
Author_Institution :
Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
4295
Lastpage :
4298
Abstract :
We can find potential relationship behind the data by data mining for e-commerce, so adjust dynamically web page structure, improve service, and meet better consumer demand. This paper discusses the data resources used by data mining in e-commerce and their characteristics, gives the basic process of data mining, analysing e-commerce data mining techniques used, at last points out the current problems to be solved, which gives a better foundation for further research.
Keywords :
data mining; electronic commerce; consumer demand; data mining technique; data resources; e-commerce; web page structure; Algorithm design and analysis; Clustering algorithms; Computers; Data mining; Educational institutions; Internet; Software algorithms; Association Rules; Data Mining; Electronic Commerce; Multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.1079
Filename :
5591217
Link To Document :
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