Title :
Research on the data mining technology of the e-commerce based on the interest
Author :
Liu, Kainan ; Zhang, Fengyan ; Pan, Wumin
Author_Institution :
Dept. of Comput. Sch., China Women´´s Univ., Beijing, China
Abstract :
In this paper, the web data mining of the e-commerce is analyzed comprehensively. For the problem that the individual users hardly find the features of interest in behavioral, the association algorithm of the web is developed. By the effective use of data warehouse technology, the features of interest of users is mined to guide the organization of e-commerce sites and distribution of resources to provide the correct profit-oriented for the investors of the business-type Web site.
Keywords :
Web sites; consumer behaviour; data mining; data warehouses; electronic commerce; Web data mining technology; association algorithm; business type Web site; data warehouse technology; e-commerce site; Companies;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643714
