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 Special Issue on The Sustainable Development Goals

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Vol. 7, October, Issue 7

Paper Submission  Deadline : 30th  October 2024

Vol. 7,  Special Issue(Bi-yearly)



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SURVEY ON MININGFREQUENT PATTERN ON BIG DATA USING MAP REDUCING TECHNIQUE


Abstract

Abstract: Theproposed models are based on the well-known Apriori algorithm and the MapReduceframework. The proposed algorithms are divided into three main groups. Twoalgorithms Apriori MapReduce (AprioriMR) and iterative AprioriMR (IAprioriMR)are properly designed to extract patterns in large datasets. These algorithmsextract any existing item-set in data regardless their frequency[2]. Pruningthe search space by means of the antimonotone property. Two additionalalgorithms space pruning AprioriMR (SPAprioriMR) and top AprioriMR(TopAprioriMR) are proposed with the aim of discovering any frequent patternavailable in data. Maximal frequent patterns[5]. A last algorithm maximalAprioriMR (MaxAprioriMR) is also proposed for mining condensed representationsof frequent patterns[3], i.e., frequent patterns with no frequent supersets.

Keywords: Big Data,Hadoop, Data Mining

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