Improved Frequent Pattern Mining Algorithm with Indexing
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: Efficient frequent pattern mining algorithms are decisive for mining association rule. In this paper,we examine the matter of association rule mining for items in a massive database of sales transactions. Findinglarge patterns from database transactions has been suggested in many algorithms like Apriori, DHP, ECLAT,FP Growth etc. But here we have introduced newer algorithm called Improved Frequent Pattern MiningAlgorithm with Indexing (IFPMAI), which is efficient for mining frequent patterns. IFPMAI uses subsumeindexes i.e. those itemsets that co-occurrence with representative item can be identified quickly and directlyusing simple and quickest method. This will become beneficial like (i) avoid redundant operations of itemsetsgeneration and (ii) many frequent items having the same supports as representative item, so the cost of supportcount is reduced hence the efficiency is improved. Then an example is used to illustrate this proposed algorithm. The results of the experiment show that the new algorithm in performance is more remarkable for miningfrequent patterns
Authors and Affiliations
Prof. Paresh Tanna , Dr. Yogesh Ghodasara
Keywords
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