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Research on improving methods of preprocessing in web log mining

Authors :
Hongxia Gao
Huaqiang Zhou
Han Xiao
Source :
The 2nd International Conference on Information Science and Engineering.
Publication Year :
2010
Publisher :
IEEE, 2010.

Abstract

This paper analyzes the web logs by using data mining technology. Through structure mining, usage mining and content mining, analyzes and studies the existing problems in current mining technology. Aiming at relevant key preprocessing schedule such as Frame page filtration, time-out threshold value setting and long-time setting, etc. this paper puts forward a modified data preprocessing technical method and compares the mining results through tests before and after the modification. Experiment proves that, the modified preprocessing technology is feasible and it can solve problems existing in relevant preprocessing effectively.

Details

Database :
OpenAIRE
Journal :
The 2nd International Conference on Information Science and Engineering
Accession number :
edsair.doi...........e987e0dc26a630be5771545908a89b00
Full Text :
https://doi.org/10.1109/icise.2010.5691732