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
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;
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
DOI :
10.1109/CCTAE.2010.5543398
