Research Article

An Enhanced Method to Mine Rare Item Sets using Multiple Item Sets Support based on CP-Tree

by  Acharya Isha Umeshbhai, Ankur N. Shah
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Issue 19
Published: June 2015
Authors: Acharya Isha Umeshbhai, Ankur N. Shah
10.5120/21177-4192
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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
Abstract

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.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Data mining association rule mining rare item sets frequent pattern MCCFP-growth MIS CP-tree.

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