DocumentCode :
3175962
Title :
Research on intelligentzed webpage filtering technology based on data mining
Author :
Qi-Liang, Shu ; Li-ping, Zhao ; Xiao-Liang, Lai
Author_Institution :
Sub-Inst. of Sci. & Technol. & Art, Jingdezhen Ceramic Inst., Jingdezhen, China
fYear :
2010
fDate :
29-30 Oct. 2010
Firstpage :
742
Lastpage :
745
Abstract :
Through the research on data mining, especially web mining, in this thesis, we discuss its application of web information filtering. In order to design the practical, fast and effective filter methods, bad web page filter model is proposed based on probability and statistics and data mining technology, the design and implementation of the intelligent web information filtering engine, taken the engine achievement related technologies.
Keywords :
Web sites; data mining; information filtering; probability; statistical analysis; Web mining; data mining; intelligent Web information filtering engine; intelligent Web page filtering technology; probability; statistics; Data mining; Information filters; Monitoring; Real time systems; USA Councils; Data Mining; Intelligent; Webpage Filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
Type :
conf
DOI :
10.1109/ICAIE.2010.5641490
Filename :
5641490
Link To Document :
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