DocumentCode :
1965351
Title :
Research on Data Mining in E-business Websites
Author :
Hanyang, Luo ; Jinling, Gao ; Wenli, Ji
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen
Volume :
4
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
336
Lastpage :
339
Abstract :
With the rapid development of e-business, more and more customer data accumulate daily in Websitespsila background databases. Data mining is thus used to analyze customerspsila buying behaviors and consuming habits to better understand their needs. The authors introduce the data source of data mining in E-business Websites, and then present an architecture that consists of three main components: business data definition, customer interaction, data analysis, and three data transfer processes: data preparation, data warehouse construction and results deployment. Finally several main methods of data mining in e-business Websites, including characterization and discrimination, association analysis, cluster analysis, are clarified.
Keywords :
Internet; data mining; electronic commerce; association analysis; business data definition; cluster analysis; customer interaction; customers buying behaviors; data analysis; data mining; data preparation; data transfer process; data warehouse; e-business Websites; Authorization; Computer science; Data analysis; Data mining; Data warehouses; Databases; Educational institutions; File servers; Software engineering; Web server; E-business; architecture; data mining; method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1348
Filename :
4722629
Link To Document :
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