DocumentCode :
3131715
Title :
A Novel Web Authoritative Page Mining Algorithm Based on Association Analysis
Author :
Xiang-wei, Li ; Shuang-ping, Zhao
Author_Institution :
Dept. of Comput. Eng., Lanzhou Polytech. Coll., Lanzhou, China
fYear :
2011
fDate :
8-9 Oct. 2011
Firstpage :
136
Lastpage :
138
Abstract :
Internet server as a distributing global information service center which produced much amount of data every time or every day, it is a very urgent need to get interesting and important information from internet efficiently and timely to everyone of us. Web consists of not only the amount of page, but also the structure link and the used recorder, which contain much useful and important information such as custom access action, the quality of the Web page and similar user classification. The paper make use of the user access sequences to produce the vast forward path, by the preprocessing get the frequent access crunodes, then introduce association analysis method in data mining to generating the authoritative sites. Finally, the instance illustrated the affectivity and feasibility.
Keywords :
Internet; data analysis; data mining; pattern classification; Internet server; Web authoritative page mining algorithm; Web page quality; association analysis; data mining; user classification; Algorithm design and analysis; Association rules; Computers; Internet; Web mining; Web pages; association analysis; frequency access crunodes; vast forward path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
Type :
conf
DOI :
10.1109/KAM.2011.44
Filename :
6137598
Link To Document :
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