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A New Approach for Frequent Pattern Mining

Juhi Singh, Md Iliyas Khan


In this paper, we review the partition algorithm proposed for mining frequent itemsets and we propose AdvPartition ,a new algorithm , which introduces several improvements to the classic Partition algorithm. Our goal was the optimization of the most time consuming phase of Partition algorithm i.e. the Database Scans. In a thorough experimental evaluation of our algorithm on standard benchmark data from the literature , our algorithm outperforms previous work upto an order of magnitude.


Apriori, Association Rules, Frequent Patterns, Transactional Database.

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