ODAM: An Optimized Distributed Association Rule Mining Algorithm

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2004
Issue No. 3 - March
Abstract - ODAM: An Optimized Distributed Association Rule Mining Algorithm

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ODAM: An Optimized Distributed Association Rule Mining Algorithm (HTML)

March 2004 (vol. 5 no. 3)

pp. 1

	ASCII Text	x
	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	x
	@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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MDSO.2004.1285877

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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