Author : Ankur narendrabhai shah
Keyword : Data mining, association rule mining, rare item sets, frequent pattern, mccfp-growth, mis cp-tree
Subject : Engineering research
Article Type : Original article (research)
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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
Article by : Ankur N Shah
Article add date : 2020-12-01
How to cite : Ankur narendrabhai shah. (2020-December-01). An enhanced method to mine rare item sets using multiple item sets support based on cp-tree. retrieved from https://www.openacessjournal.com/abstract/388