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