International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 119 - Issue 19 |
Published: June 2015 |
Authors: Acharya Isha Umeshbhai, Ankur N. Shah |
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Acharya Isha Umeshbhai, Ankur N. Shah . An Enhanced Method to Mine Rare Item Sets using Multiple Item Sets Support based on CP-Tree. International Journal of Computer Applications. 119, 19 (June 2015), 27-30. DOI=10.5120/21177-4192
@article{ 10.5120/21177-4192, author = { Acharya Isha Umeshbhai,Ankur N. Shah }, title = { An Enhanced Method to Mine Rare Item Sets using Multiple Item Sets Support based on CP-Tree }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 119 }, number = { 19 }, pages = { 27-30 }, doi = { 10.5120/21177-4192 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Acharya Isha Umeshbhai %A Ankur N. Shah %T An Enhanced Method to Mine Rare Item Sets using Multiple Item Sets Support based on CP-Tree%T %J International Journal of Computer Applications %V 119 %N 19 %P 27-30 %R 10.5120/21177-4192 %I Foundation of Computer Science (FCS), NY, USA
Rare Association rule is an association rule consisting of rare items. Frequent Pattern (FP)-growth is an approach for utilizes the preceding knowledge providing by the user at the time of input and discovers frequent patterns with a two scan on the transactional dataset. We are presented a CP-tree (Compact-pattern tree), that capture database information with one scan (Insertion phase) and provided the same mining performance as the FP-growth method (Restructuring phase) by dynamic tree restructuring process. CP-tree can give functionalities for interactive and incremental mining with single database scan with our CP-tree outperforms in denominate of both execution time and memory requirements. Hence, we are going to present a generated MIS-tree based on CP-tree.