DocumentCode
568191
Title
Research of business intelligence based on web accessing data mining
Author
Li, Xingyuan ; Wu, Yanyan ; Cheng, Ping
Author_Institution
Inf. Eng. Coll., Ningbo Dahongying Univ., Ningbo, China
fYear
2012
fDate
14-17 July 2012
Firstpage
1231
Lastpage
1233
Abstract
In this paper, the basic characteristic of web access information puts forward the improved data mining algorithm in the application of e-commerce industry. Deep analysis of web access to information, it comes from solving real problem from the design of web based access information mining application model. It puts forward several key technical problem methods. for solving the problems.
Keywords
Internet; competitive intelligence; data mining; electronic commerce; Web access information; Web accessing data mining algorithm; Web based access information mining application model; business intelligence; e-commerce industry; Business; Data mining; Data models; HTML; Relational databases; XML; FP-growth; Information mining; association rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295287
Filename
6295287
Link To Document