PARALLEL FIM USING HADOOP

• Author(s):

  Suraj Ghadge | Pravin Durge | Vishal Bhosale | Sumit Mishra

• Keywords:

  Frequent Itemsets Mining, Parallel Mining Algorithms, Data Mining, MapReduce, Hadoop

• 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

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Other Details

• Paper id:

  IJSARTV2I53400

• Published in:

  Volume: 2 Issue: 5 May 2016

• Publication Date:

  2016-05-27

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