DocumentCode :
2297933
Title :
Web Log Data Preprocessing Based on Collaborative Filtering
Author :
Chang-bin, Jiang ; Li, Chen
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
Volume :
2
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
118
Lastpage :
121
Abstract :
The emphases of this study are Web log data preprocessing and collaborative filtering. Aiming at user session identification in the process of data preprocessing and analyzing existing algorithms, this paper established a Web log data preprocessing algorithm based on collaborative filtering. Detailed steps of algorithm and an experimental simulation were carried out. The results of the experiment indicated that the application of collaborative filtering in Web log data preprocessing could provide high-quality data for subsequent log mining. The application is feasible and effective.
Keywords :
Internet; data mining; filtering theory; groupware; Web log data preprocessing; collaborative filtering; subsequent log mining; user session identification; Collaboration; Data mining; Data preprocessing; Educational technology; File servers; Filtering algorithms; Information filtering; Information filters; Technology management; Web server; Collaborative filtering; Data preprocessing; User session identification; Web log mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
Type :
conf
DOI :
10.1109/ETCS.2010.588
Filename :
5459726
Link To Document :
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