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Third IEEE International Conference on Data Mining (ICDM'03)
Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering
Melbourne, Florida
November 19-November 22
ISBN: 0-7695-1978-4
ASCII Text
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Mehmet Kaya, Reda Alhajj, "Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering," Data Mining, IEEE International Conference on, pp. 561, Third IEEE International Conference on Data Mining (ICDM'03), 2003.
 
 
BibTex
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@article{ 10.1109/ICDM.2003.1250977,
author = {Mehmet Kaya and Reda Alhajj},
title = {Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1978-4},
pages = {561},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2003.1250977},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering
SN - 0-7695-1978-4
SP
EP
A1 - Mehmet Kaya,
A1 - Reda Alhajj,
PY - 2003
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Mehmet Kaya, Firat University, Elazig, Turkey
Reda Alhajj, University of Calgary, Alberta, Canada
In this paper, we propose an automated clustering method based on multi-objective genetic algorithms (GA); the aim of this method is to automatically cluster values of a given quantitative attribute to obtain large number of large itemsets in low duration (time). We compare the proposed multi-objective GA-based approach with CURE-based approach. In addition to the autonomous specification of fuzzy sets, experimental results showed that the proposed automated clustering exhibits good performance over CURE-based approach in terms of runtime as well as the number of large itemsets and interesting association rules.
Citation:
Mehmet Kaya, Reda Alhajj, "Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering," icdm, pp.561, Third IEEE International Conference on Data Mining (ICDM'03), 2003
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