Adaptive Neural Network Clustering of Web Users

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http://doi.ieeecomputersociety.org/10.1109/MC.2004.1297299

April 2004 (vol. 37 no. 4) pp. 34-40

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	Santosh K. Rangarajan, Vir V. Phoha, Kiran S. Balagani, Rastko R.Selmic, S.S. Iyengar, "Adaptive Neural Network Clustering of Web Users," Computer, vol. 37, no. 4, pp. 34-40, April, 2004.

	BibTex	x
	@article{ 10.1109/MC.2004.1297299, author = {Santosh K. Rangarajan and Vir V. Phoha and Kiran S. Balagani and Rastko R.Selmic and S.S. Iyengar}, title = {Adaptive Neural Network Clustering of Web Users}, journal ={Computer}, volume = {37}, number = {4}, issn = {0018-9162}, year = {2004}, pages = {34-40}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2004.1297299}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - Computer TI - Adaptive Neural Network Clustering of Web Users IS - 4 SN - 0018-9162 SP34 EP40 EPD - 34-40 A1 - Santosh K. Rangarajan, A1 - Vir V. Phoha, A1 - Kiran S. Balagani, A1 - Rastko R.Selmic, A1 - S.S. Iyengar, PY - 2004 VL - 37 JA - Computer ER -

Santosh K. Rangarajan, Louisiana Tech University

Vir V. Phoha, Louisiana Tech University

Kiran S. Balagani, Louisiana Tech University

Rastko R.Selmic, Louisiana Tech University

S.S. Iyengar, Louisiana State University

Web server access logs contain substantial data about user access patterns, which can enhance the degree of personalization that a Web site offers. Restructuring a site to individual user interests increases the computation at the server to an impractical degree, but organizing according to user groups can improve perceived performance.

An unsupervised clustering algorithm based on adaptive resonance theory adapts to changes in users' access patterns over time without losing earlier information. The algorithm outperformed the traditional k-means clustering algorithm in terms of intracluster distances. A prefetching application based on the algorithm achieved a hit accuracy rate for Web site page requests ranging from 82.05 to 97.78 percent.

Citation:

Santosh K. Rangarajan, Vir V. Phoha, Kiran S. Balagani, Rastko R.Selmic, S.S. Iyengar, "Adaptive Neural Network Clustering of Web Users," Computer, vol. 37, no. 4, pp. 34-40, Apr. 2004, doi:10.1109/MC.2004.1297299

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