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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
A Web-Based Database Management System Supporting Parallel Data Mining Service on PC Clusters
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Tyng-Yeu Liang, Siou-Ying Wang, Liang-I Chang, "A Web-Based Database Management System Supporting Parallel Data Mining Service on PC Clusters," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 507-510, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.224,
author = {Tyng-Yeu Liang and Siou-Ying Wang and Liang-I Chang},
title = {A Web-Based Database Management System Supporting Parallel Data Mining Service on PC Clusters},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {507-510},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.224},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - A Web-Based Database Management System Supporting Parallel Data Mining Service on PC Clusters
SN - 0-7695-2616-0
SP507
EP510
A1 - Tyng-Yeu Liang,
A1 - Siou-Ying Wang,
A1 - Liang-I Chang,
PY - 2006
KW - web services
KW - association rule
KW - MPI
KW - DSM
KW - PC clusters
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Tyng-Yeu Liang, National Kaohsiung University of Applied Sciences, Taiwan, R.O.C.
Siou-Ying Wang, National Kaohsiung University of Applied Sciences, Taiwan, R.O.C.
Liang-I Chang, National Kaohsiung University of Applied Sciences, Taiwan, R.O.C.
In this study, we develop a database management system which provides users with on-line web services to build and manage their databases and perform parallel data mining on Internet. We exploit two different programming toolkits, i.e., MPI and DSM to parallelize association rules on PC clusters in order to minimize response time. In addition, we have evaluated the performance of these two programming toolkits on parallelization of data association mining. Our experimental results show that both of MPI and DSM are effective for parallel data association mining while MPI provides a 30~45% performance improvement than DSM.
Index Terms:
web services, association rule, MPI, DSM, PC clusters
Citation:
Tyng-Yeu Liang, Siou-Ying Wang, Liang-I Chang, "A Web-Based Database Management System Supporting Parallel Data Mining Service on PC Clusters," icicic, vol. 2, pp.507-510, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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