DocumentCode
2938970
Title
Personalized Services Research Based on Web Data Mining Technology
Author
Cheng, Xiaorong ; Liu, Hong
Author_Institution
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
Volume
2
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
177
Lastpage
180
Abstract
This paper use the source of Web log data and through Apriori all algorithm among sequential pattern mining to identify the user pattern in the data pre-processing stage and based on pattern to cluster users´ path pattern and make the similarity users cluster one group in order to reduce pattern. Through testing, the method has been proven to be effective for users in personalized service.
Keywords
Internet; data mining; pattern clustering; personal information systems; Apriori all algorithm; Web data mining technology; Web log data; data preprocessing stage; personalized services; sequential pattern mining; user path pattern clustering; Algorithm design and analysis; Clustering algorithms; Computational intelligence; Computer science; Data mining; Iterative algorithms; Navigation; Paper technology; Pattern analysis; Web mining; AprioriAll algorithm; web log mining; web personalized service;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.192
Filename
5370884
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