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Mining Association Rules from Relations on a Parallel NCR Teradata Database System
Las Vegas, Nevada April 05-April 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286500International Conference on Informati ...
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Soon M. Chung, Murali Mangamuri, "Mining Association Rules from Relations on a Parallel NCR Teradata Database System," Information Technology: Coding and Computing, International Conference on, vol. 1, pp. 465, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1, 2004.
 
 
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@article{ 10.1109/ITCC.2004.1286500,
author = {Soon M. Chung and Murali Mangamuri},
title = {Mining Association Rules from Relations on a Parallel NCR Teradata Database System},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {1},
year = {2004},
isbn = {0-7695-2108-8},
pages = {465},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286500},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - Mining Association Rules from Relations on a Parallel NCR Teradata Database System
SN - 0-7695-2108-8
SP
EP
A1 - Soon M. Chung,
A1 - Murali Mangamuri,
PY - 2004
KW - data mining
KW - association rules
KW - parallel database system
KW - performance analysis
VL - 1
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Soon M. Chung, Wright State University, Dayton, Ohio
Murali Mangamuri, Wright State University, Dayton, Ohio
Data mining from relations is becoming increasingly important with the advent of parallel database systems. In this paper, we propose a new algorithm for mining association rules from relations. The new algorithm is an enhanced version of the SETM algorithm [Set-Oriented Mining for Association Rules in Relational Databases], and it reduces the number of candidate itemsets considerably. We implemented and evaluated the new algorithm on a parallel NCR Teradata database system. The new algorithm is much faster than the SETM algorithm, and its performance is quite scalable.
Index Terms:
data mining, association rules, parallel database system, performance analysis
Citation:
Soon M. Chung, Murali Mangamuri, "Mining Association Rules from Relations on a Parallel NCR Teradata Database System," itcc, vol. 1, pp.465, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1, 2004
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