ODAM: An optimized distributed association rule mining algorithm

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, we have developed a distributed algorithm, called optimized distributed association mining, for geographically distributed data set...

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Bibliographic Details
Published in:IEEE distributed systems online 2004, Vol.5 (3), p.1-18
Main Authors: Ashrafi, M.Z., Taniar, D., Smith, K.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Association rules
Costs
Counting
Data mining
Distributed algorithms
Distributed computing
Exchange
Itemsets
Merging
Messages
Mining
On-line systems
Online
Partitioning algorithms
Transaction databases
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Description
Summary: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, we have developed a distributed algorithm, called optimized distributed association mining, for geographically distributed data sets. ODAM generates support counts of candidate itemsets quicker than the other DARM algorithms and reduces the size of average transactions, data sets, and message exchanges.
ISSN:1541-4922
1541-4922
1558-1683
DOI:10.1109/MDSO.2004.1285877