wekadata-miningaprioriassociate

Association Mining Weka Only 1

I'm trying to apply associate mining using apriori with Weka on my data set that looks like

A B C
1 0 1
0 0 1
1 0 0

But it's only finding rules where its 0 while I only want rules where there are 1s

How can I get around this? I don't want it to look for rules where an absence of something indicates the absence of something else but rather the presence of A to indicate the presence of C for example.

Solution

  • Try replacing 0s with missing values instead! If I recall correctly, this will then produce the desired results. But I haven't used this for a long time, because Weka is just so much slower than ELKI or SPMF. Weka would just die on my data sets, whereas the other two worked fine.