DocumentCode
525794
Title
Quotient space granular computing for the Click-stream data warehouse in Web servers
Author
Chen, Xuhui ; Wu, Yujie ; Cheng, Huiyan
Author_Institution
Sch. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou, China
Volume
3
fYear
2010
fDate
12-13 June 2010
Firstpage
93
Lastpage
96
Abstract
The quotient space granular computing´s normalized equicrual metric and the combination of domains are used to the mining web log data pre-processing stage before creating click-stream data warehouse. From visiting the web page, to analyze the sites and the paths of interest for users, the better access to the site behavior for users can be obtained, building the best network topology structure. According to calculation, the performance of the Click-stream data warehouse (CDW) can be improved effectively by this way.
Keywords
artificial intelligence; data mining; data warehouses; Web servers; click-stream data warehouse; quotient space granular computing; web log data mining; Gallium nitride; Click-stream; Data Warehouse; Web log mining; quotient space theory; topology structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5543398
Filename
5543398
Link To Document