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Vol. 4, Sept  Issue  Paper Submission  Deadline : 20th  December 2019...

Vol. 4,  Special Issue(Bi-yearly) -  Paper Submission  Deadline: 20th  December 2019


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MINING FREQUENT PATTERN ON BIG DATA USING MAPREDUCING TECHNIQUE


Abstract

Abstract: The proposed models are based on the well-known Apriori algorithm and the MapReduce framework. The
proposed algorithms are divided into three main groups. Two algorithms Apriori MapReduce (AprioriMR) and iterative
AprioriMR (IAprioriMR) are properly designed to extract patterns in large datasets. These algorithms extract any
existing item-set in data regardless their frequency[2]. Pruning the search space by means of the antimonotone property.
Two additional algorithms space pruning AprioriMR (SPAprioriMR) and top AprioriMR (TopAprioriMR) are proposed
with the aim of discovering any frequent pattern available in data. Maximal frequent patterns[5]. A last algorithm
maximal AprioriMR (MaxAprioriMR) is also proposed for mining condensed representations of frequent patterns [3],
i.e., frequent patterns with no frequent supersets.
Keywords: Big Data, Hadoop, Data Mining

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IMPACT FACTOR: 5.909(2018)

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Organized  National Conference on  SUSTAINABLE SOLID WASTE MANAGEMENT (SSWM)

@ AMITY SCHOOL OF ENGINEERING & TECHNOLOGY

Department of Civil Engineering,

Amity University Haryana,


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  CSEEEC-2019       

  National Computer Science ,Electronics, Electrical  Engineering Conference 



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