Quotient space granular computing for the Click-stream data warehouse in Web servers

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 bett...

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Bibliographic Details
Published in2010 International Conference on Computer and Communication Technologies in Agriculture Engineering Vol. 3; pp. 93 - 96
Main Authors Xuhui Chen, Yujie Wu, Huiyan Cheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Click-stream
Data Warehouse
Gallium nitride
quotient space theory
topology structure
Web log mining
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Summary: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.
ISBN:1424469449
9781424469444
ISSN:2161-1092
DOI:10.1109/CCTAE.2010.5543398