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
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;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295287
