/hadoop-apriori

Implementation of the Apriori algorithm using Hadoop.

Primary LanguageJava

Hadoop Apriori

Brute force Apriori algorithm implementation using Hadoop. This algorithm does not continue and build the association rules.

Usage

home input output minsup max number

hadoop jar HadoopApriori.jar com.jgalilee.hadoop.apriori.driver.Driver \
  input/apriori.state \
  input/transactions.txt \
  output \
  3 \
  10 \
  2
  • home - Path to a filename iteration state can be written each iteration.
  • input - Path to the input transaction data.
  • output - Path to write the output for iteration n - i.e. output/n
  • minsup - Minimum support candidate itemsets to be deemed frequent itemsets.
  • max - Maximum number of iterations to run for.
  • number - Number of reducers to suggest to the Hadoop job.

Assumptions

Input data is assumed to be string representations in integer format -

tid \t 1 \s 2 \s ...

Where \t is a tab, and \s is a space. The number of duplicate items or order is not important. This will be resolved during the map phase.

Dependencies

  • Hadoop 2.2.0

Licence

The MIT License (MIT)

Copyright (c) 2014 Jack Galilee

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