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Mafruz Zaman Ashrafi, David Taniar, Kate Smith, "ODAM: An Optimized Distributed Association Rule Mining Algorithm," IEEE Distributed Systems Online, vol. 5, no. 3, pp. 1, March, 2004.
 
 
BibTex
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@article{ 10.1109/MDSO.2004.1285877,
author = {Mafruz Zaman Ashrafi and David Taniar and Kate Smith},
title = {ODAM: An Optimized Distributed Association Rule Mining Algorithm},
journal ={IEEE Distributed Systems Online},
volume = {5},
number = {3},
issn = {1541-4922},
year = {2004},
doi = {http://doi.ieeecomputersociety.org/10.1109/MDSO.2004.1285877},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - MGZN
JO - IEEE Distributed Systems Online
TI - ODAM: An Optimized Distributed Association Rule Mining Algorithm
IS - 3
SN - 1541-4922
SP
EP
EPD - 1
A1 - Mafruz Zaman Ashrafi,
A1 - David Taniar,
A1 - Kate Smith,
PY - 2004
KW - association rule mining
KW - distributed data mining
KW - candidate itemset
KW - frequent itemset
VL - 5
JA - IEEE Distributed Systems Online
ER -
 
Mafruz Zaman Ashrafi, Monash University
David Taniar, Monash University
Kate Smith, Monash University

Association rule mining is an active data mining research area. However, most ARM algorithms cater to a centralized environment. In contrast to previous ARM algorithms, ODAM is a distributed algorithm for geographically distributed data sets that reduces communication costs.

Index Terms:
association rule mining, distributed data mining, candidate itemset, frequent itemset
Citation:
Mafruz Zaman Ashrafi, David Taniar, Kate Smith, "ODAM: An Optimized Distributed Association Rule Mining Algorithm," IEEE Distributed Systems Online, vol. 5, no. 3, pp. 1, Mar. 2004, doi:10.1109/MDSO.2004.1285877
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