Application of Data Mining in Web Pre-Fetching

M
MSE
2000
2000 International Symposium on Multimedia Software Engineering
Abstract - Application of Data Mining in Web Pre-Fetching

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2000 International Symposium on Multimedia Software Engineering

Taipei, Taiwan

November 11-November 13

ISBN: 0-7695-0933-9

	ASCII Text	x
	Baowen Xu, Weifeng Zhang, William Song, Hongji Yang, Chih-Hung Chang, "Application of Data Mining in Web Pre-Fetching," Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on, pp. 372, 2000 International Symposium on Multimedia Software Engineering, 2000.

	BibTex	x
	@article{ 10.1109/MMSE.2000.897238, author = {Baowen Xu and Weifeng Zhang and William Song and Hongji Yang and Chih-Hung Chang}, title = {Application of Data Mining in Web Pre-Fetching}, journal ={Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on}, volume = {0}, year = {2000}, isbn = {0-7695-0933-9}, pages = {372}, doi = {http://doi.ieeecomputersociety.org/10.1109/MMSE.2000.897238}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on TI - Application of Data Mining in Web Pre-Fetching SN - 0-7695-0933-9 SP EP A1 - Baowen Xu, A1 - Weifeng Zhang, A1 - William Song, A1 - Hongji Yang, A1 - Chih-Hung Chang, PY - 2000 KW - WWW Internet KW - Data Model KW - Data Mining KW - Pre-fetching KW - Cache VL - 0 JA - Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMSE.2000.897238

To speed up fetching web pages, this paper gives an intelligent technology of web pre-fetching. We use a simplified WWW data model to represent the data in the cache of web browser to mine the association rules. We store these rules in a knowledge base so as to predict the users actions. Intelligent agents are responsible for mining the users' interest and pre-fetching web pages, based on the interest association repository. In this way, user browsing time has been reduced transparently.

Index Terms:

WWW Internet, Data Model, Data Mining, Pre-fetching, Cache

Citation:

Baowen Xu, Weifeng Zhang, William Song, Hongji Yang, Chih-Hung Chang, "Application of Data Mining in Web Pre-Fetching," mse, pp.372, 2000 International Symposium on Multimedia Software Engineering, 2000

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