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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.192
