Visual Web Mining of Organizational Web Sites

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Tenth International Conference on Information Visualisation (IV'06)

London, England

July 05-July 07

ISBN: 0-7695-2602-0

	ASCII Text	x
	C Oosthuizen, J Wesson, C Cilliers, "Visual Web Mining of Organizational Web Sites," Information Visualisation, International Conference on, pp. 395-401, Tenth International Conference on Information Visualisation (IV'06), 2006.

	BibTex	x
	@article{ 10.1109/IV.2006.123, author = {C Oosthuizen and J Wesson and C Cilliers}, title = {Visual Web Mining of Organizational Web Sites}, journal ={Information Visualisation, International Conference on}, volume = {0}, year = {2006}, issn = {1550-6037}, pages = {395-401}, doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2006.123}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Visualisation, International Conference on TI - Visual Web Mining of Organizational Web Sites SN - 1550-6037 SP395 EP401 A1 - C Oosthuizen, A1 - J Wesson, A1 - C Cilliers, PY - 2006 KW - visual web mining KW - data mining KW - information visualization KW - web usage patterns KW - radial tree layout KW - user testing. VL - 0 JA - Information Visualisation, International Conference on ER -

C Oosthuizen, Nelson Mandela Metropolitan University

J Wesson, Nelson Mandela Metropolitan University

C Cilliers, Nelson Mandela Metropolitan University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2006.123

Existing web usage mining (WUM) tools do not indicate which data mining algorithms are used or provide effective graphical visualizations of the results obtained. WUM techniques can be used to determine typical navigation patterns in an organizational web site. The process of combining WUM and information visualization techniques in order to discover useful information about web usage patterns is called visual web mining. The goal of this paper is to discuss the development of a visual web mining prototype, called WebPatterns, which allows the user to effectively visualize web usage patterns.

Index Terms:

visual web mining, data mining, information visualization, web usage patterns, radial tree layout, user testing.

Citation:

C Oosthuizen, J Wesson, C Cilliers, "Visual Web Mining of Organizational Web Sites," iv, pp.395-401, Tenth International Conference on Information Visualisation (IV'06), 2006

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