International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 87 - Issue 19 |
Published: February 2014 |
Authors: Logeswari T, Valarmathi N, Sangeetha A, Masilamani M |
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Logeswari T, Valarmathi N, Sangeetha A, Masilamani M . Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining. International Journal of Computer Applications. 87, 19 (February 2014), 4-8. DOI=10.5120/15457-3820
@article{ 10.5120/15457-3820, author = { Logeswari T,Valarmathi N,Sangeetha A,Masilamani M }, title = { Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 87 }, number = { 19 }, pages = { 4-8 }, doi = { 10.5120/15457-3820 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Logeswari T %A Valarmathi N %A Sangeetha A %A Masilamani M %T Analysis of Traditional and Enhanced Apriori Algorithms in Association Rule Mining%T %J International Journal of Computer Applications %V 87 %N 19 %P 4-8 %R 10.5120/15457-3820 %I Foundation of Computer Science (FCS), NY, USA
In this paper, Enhanced Apriori Algorithm is proposed which takes less scanning time. It is achieved by eliminating the redundant generation of sub-items during pruning the candidate item sets. Both Traditional and Enhanced Apriori algorithms are compared and analysed in this paper.