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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
ASCII Text
x 
 
Hui Zhang, Han-Tao Song, "Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document," Data Mining Workshops, International Conference on, pp. 615-619, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDMW.2006.83,
author = {Hui Zhang and Han-Tao Song},
title = {Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2702-7},
pages = {615-619},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.83},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining Workshops, International Conference on
TI - Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document
SN - 0-7695-2702-7
SP615
EP619
A1 - Hui Zhang,
A1 - Han-Tao Song,
PY - 2006
KW - null
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
Hui Zhang, Beijing Institute of Technology,100081 China
Han-Tao Song, Beijing Institute of Technology,100081 China
A fuzzy related classification approach for Web document based on ontology concept semantic measurement is presented in this paper. The features of ontology in the semantic web are explored, and a method to compute the semantic similarity between concepts is put forward. Motivated by the semantic similarity and the fuzzy characteristics of the Web document, the fuzzy related technology combined with VSM in classifying Web documents into a predefined set of ontology categories is adopted. Finally some examples are presented to show that the results are satisfying.
Citation:
Hui Zhang, Han-Tao Song, "Fuzzy Related Classification Approach Based on Semantic Measurement for Web Document," icdmw, pp.615-619, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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