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Investigating Semantic Measures in XML Clustering
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.1062006 IEEE/WIC/ACM International Confe ...
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Richi Nayak, "Investigating Semantic Measures in XML Clustering," Web Intelligence, IEEE / WIC / ACM International Conference on, pp. 1042-1045, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006.
 
 
BibTex
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@article{ 10.1109/WI.2006.106,
author = {Richi Nayak},
title = {Investigating Semantic Measures in XML Clustering},
journal ={Web Intelligence, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2747-7},
pages = {1042-1045},
doi = {http://doi.ieeecomputersociety.org/10.1109/WI.2006.106},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Web Intelligence, IEEE / WIC / ACM International Conference on
TI - Investigating Semantic Measures in XML Clustering
SN - 0-7695-2747-7
SP1042
EP1045
A1 - Richi Nayak,
PY - 2006
KW - null
VL - 0
JA - Web Intelligence, IEEE / WIC / ACM International Conference on
ER -
 
Richi Nayak, Queensland University of Technology, Australia
This paper discusses the influence of semantic computation in structural data such as XML for clustering similar data. We study how the semantic similarity at individual element level influences the overall similarity of documents. The empirical results indicate that the semantic measures do not play an important role in finding clusters in structural data such as XML.
Citation:
Richi Nayak, "Investigating Semantic Measures in XML Clustering," wi, pp.1042-1045, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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