On 06/03/11 22:34, John Dennison wrote:
[...]
from data like
Customer-ID | Item-ID
cust1 | 2
cust1 | 3
cust1 | 5
cust2 | 5
cust2 | 3
cust3 | 2
...
#read in data to a sparse binary transaction matrix
txn = read.transactions(file="tranacti
So there are a couple parts to this question. I am trying to implement the
rpart/random forest algorithms on a transaction lists. That is to say i am
trying to train models in order to deduce what are the most predictive
transactions within a customers history in order apply this model to future
te
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