DocumentCode
957546
Title
ODAM: An optimized distributed association rule mining algorithm
Author
Ashrafi, Mafruz Zaman ; Taniar, David ; Smith, Kate
Author_Institution
Monash Univ., Clayton, Vic., Australia
Volume
5
Issue
3
fYear
2004
fDate
6/26/1905 12:00:00 AM
Abstract
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.
Keywords
computational complexity; data mining; distributed algorithms; distributed databases; data mining; distributed algorithm; geographically distributed data sets; optimized distributed association mining; Algorithm design and analysis; Association rules; Costs; Data mining; Distributed algorithms; Distributed computing; Itemsets; Merging; Partitioning algorithms; Transaction databases;
fLanguage
English
Journal_Title
Distributed Systems Online, IEEE
Publisher
ieee
ISSN
1541-4922
Type
jour
DOI
10.1109/MDSO.2004.1285877
Filename
1285877
Link To Document