I am using ArulesSequences package in R to identify meaningful sequences which result in a positive outcome.
seq.rules = cspade(test.tran, parameter=list(support=0.01),control =
list(verbose = TRUE),tmpdir = tempdir())
Now I wish to use this list of 'rules' and apply to my test dataset to predict the outcome. I am not able to get material online on how to discover these sequenced rules in a transactional dataset. Any help on this regard would be appreciated. Thanks!
