Brute force Apriori algorithm implementation using Hadoop. This algorithm does not continue and build the association rules.
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.
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.
- Hadoop 2.2.0
The MIT License (MIT)
Copyright (c) 2014 Jack Galilee
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