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Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
Niigata, Japan
July 18-July 20
ISBN: 0-7695-2916-X
ASCII Text
x 
 
I-Hsien Ting, Chris Kimble, Daniel Kudenko, "Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users," Advanced Learning Technologies, IEEE International Conference on, pp. 929-930, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICALT.2007.71,
author = {I-Hsien Ting and Chris Kimble and Daniel Kudenko},
title = {Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users},
journal ={Advanced Learning Technologies, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2916-X},
pages = {929-930},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.71},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Learning Technologies, IEEE International Conference on
TI - Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users
SN - 0-7695-2916-X
SP929
EP930
A1 - I-Hsien Ting,
A1 - Chris Kimble,
A1 - Daniel Kudenko,
PY - 2007
KW - null
VL - 0
JA - Advanced Learning Technologies, IEEE International Conference on
ER -
 
I-Hsien Ting, The University of York, UK
Chris Kimble, The University of York, UK
Daniel Kudenko, The University of York, UK
In this paper, a web usage mining based approach is proposed to discover potential browsing problems. Two web usage mining techniques in the approach are introduced, including Automatic Pattern Discovery (APD) and Co-occurrence Pattern Mining with Distance Measurement (CPMDM). A combination method is also discussed to show how potential browsing problems can be identified
Citation:
I-Hsien Ting, Chris Kimble, Daniel Kudenko, "Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users," icalt, pp.929-930, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007
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