DocumentCode :
2558363
Title :
The Algorithm Research Based on Parallel Web Log Mining
Author :
Sheng Yunyao ; Sun Yuqiang ; Zhang Li
Author_Institution :
Comput. Sci. & Eng. Dept., Changzhou Machinery & Electr. Technol. Inst., Changzhou, China
fYear :
2010
fDate :
23-25 Sept. 2010
Firstpage :
1
Lastpage :
3
Abstract :
A data preprocessing Model is discussed in this paper, which included processes of source data preparing, data cleaning, user recognition, dialog recognition, path supplementation and data formatting. In order to promote compute efficiency and apply parallel technique to the algorithm, a parallel mining algorithm fitted to web log is put forward. And in the last, the feasibility of algorithm is verified by an instance.
Keywords :
Internet; data mining; parallel algorithms; pattern recognition; data cleaning; data formatting; data preparing; data preprocessing model; dialog recognition; parallel Web log mining; path supplementation; user recognition; Algorithm design and analysis; Computational modeling; Data mining; Parallel algorithms; Transaction databases; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
Type :
conf
DOI :
10.1109/WICOM.2010.5600879
Filename :
5600879
Link To Document :
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