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Visual Web Mining of Organizational Web Sites
London, England July 05-July 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2006.123Tenth International Conference on Inf ...
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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
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@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
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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