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Third IEEE International Conference on Data Mining (ICDM'03)
Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining
Melbourne, Florida
November 19-November 22
ISBN: 0-7695-1978-4
ASCII Text
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Reda Alhajj, Mehmet Kaya, "Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining," Data Mining, IEEE International Conference on, pp. 469, Third IEEE International Conference on Data Mining (ICDM'03), 2003.
 
 
BibTex
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@article{ 10.1109/ICDM.2003.1250954,
author = {Reda Alhajj and Mehmet Kaya},
title = {Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1978-4},
pages = {469},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2003.1250954},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining
SN - 0-7695-1978-4
SP
EP
A1 - Reda Alhajj,
A1 - Mehmet Kaya,
PY - 2003
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Reda Alhajj, University of Calgary, Alberta, Canada
Mehmet Kaya, F?rat University, Elazig, Turkey
This paper contributes to the ongoing research on multidimensional online association rules mining by proposing a general architecture that utilizes a fuzzy data cube for knowledge discovery. Three different methods are introduced to mine fuzzy association rules in the constructed fuzzy data cube, namely single dimension, multidimensional and hybrid association rules mining. Experimental results obtained for each of the three methods on the adult data of the United States census in 2000 show their effectiveness and applicability.
Citation:
Reda Alhajj, Mehmet Kaya, "Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining," icdm, pp.469, Third IEEE International Conference on Data Mining (ICDM'03), 2003
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