R and MapReduce to find association rules

Question

i'm at beginning with hadoop, i need to use it to calculate association rules of a very large dataset. i can't understend how to use R Hadoop and MapReduce to find from a dataset association rules. I have the transaction matrix but what i need to do to execute apriori algorithm with this matrix with hadoop?? this is the command used to execute apriori (package arules)

rules <- apriori(incidence.matrix , parameter = list(minlen=2, supp=0.09, conf=0.95))

i need to use it in map function on in reduce function?

Answer 1

I have the same problem (R crashes with large data sets for arules), you can use Mahout, its a machine learning engine above Hadoop and it has Association Rules and other machine learning algorithms (like clustering .. etc.)