DocumentCode :
3043913
Title :
Analysis of preprocessing methods for web usage data
Author :
Kewen, Liu
Author_Institution :
Sch. of Comput. & Informaton Eng., Harbin Univ. of Commerce, Harbin, China
Volume :
1
fYear :
2012
fDate :
18-20 May 2012
Firstpage :
383
Lastpage :
386
Abstract :
Web usage mining is to analysis Web log files and discover user accessing patterns of Web pages, it can find users´ access models automatically and quickly from the vast Web log data, such as frequent access paths, frequent access page groups and user clustering. This will provide foundation for decision making of organizations. Data preprocessing is a key technology in this mining activity. This paper analyses the preprocessing of Web usage mining in detail. After data preprocessing, the number of invalid data can be significantly reduced.
Keywords :
Web log; Web usage mining; data mining; data preprocessing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (MIC), 2012 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
978-1-4577-1601-0
Type :
conf
DOI :
10.1109/MIC.2012.6273276
Filename :
6273276
Link To Document :
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