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