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Volume 2, Issue 5 (May 2016)

Parallel Fim Using Hadoop

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Suraj Ghadge Pravin Durge Vishal Bhosale Sumit Mishra

Abstract

Frequent Itemsets Mining (FIM)is The Initial Step For Deriving Association Rules. The Problem Related To FIM Is Its Significant Amount Of Time Consumption. When Datasets Become Excessively Large, Single Machine Algorithms Do Not Perform Up To The Mark


Keywords

Frequent Itemsets Mining Parallel Mining Algorithms Data Mining MapReduce Hadoop

Paper ID

IJSARTV2I53400

Publication Date

May 27, 2016

Research Area

Data Mining, Hadoop

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