DocumentCode :
3321289
Title :
Consumers´ behavior on web based on data mining
Author :
Ge, Yan
Author_Institution :
Sch. of Bus. Adm., Shandong Univ. of Finance, Jinan, China
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
43
Lastpage :
46
Abstract :
With the advance of the process of information, the need that how the business Web site extracts the valuable information from the huge amounts of data highlights. By data mining technology we can automatically analyze data, make inductive reasoning, excavate characteristics and classification of Web users´ consumption behaviors, quantify Web consumption tendency and evaluation in order to effectively grasp the Web users´ consumption expectations and value orientation to provide users with better personalized services for the competitiveness of e-commerce businesses.
Keywords :
Web sites; consumer behaviour; data mining; electronic commerce; business Web site; consumer behavior; data mining; e-commerce business; inductive reasoning; information extraction; Algorithm design and analysis; Association rules; Business; Data analysis; Data mining; Data preprocessing; Delta modulation; Electronic commerce; Finance; History; data mining; genetic algorithm; network consumption behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5235087
Filename :
5235087
Link To Document :
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