I have a dataset that is similar to that one in the image. (http://docsdrive.com/images/academicjournals/jm/2011/tab5-2k11-510-523.gif) I have 200 bacteria samples that are tested against 10 different antibiotics. 'R' are those who resisted to that antibiotics, while 'S' were sensible to it.
My goal is to mine infrequent association rules using AprioriInverse, but first I need to make my data suitable for SPMF.
From the documentation, it seems like I need to have my data in a kind transactional database. If I have the file, say, in a .csv file, what steps
should I follow to make it acceptable for SPMF?
I have already used Apriori in other libraries, but obtained only high-confidence rules, while my interest is in rare associations. This is one example.
Cefepime=S Imipeneme=S Ertapenem=S Norfloxacin=S 311 ==> Ceftriaxone=S Amikacin=S 302 <conf
0.11)  conv
ANNY INPUT ON THIS IS APPRECIATED.