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