Is it possible to use SAS EM to find out rules that are toggled by specified discriminant factors?

[youyunjupiter]

Seqecmpgroup function in R TraMineR packages is quite helpful to check the rules that are particularly related to some discriminant factors, for example, some rules might be quite different from transactions related to gender. I am wondering whether there is a quicker way to check it using SAS EM? Plan B is to run levels in those factors 1 by 1 and compare the results..

Thanks! 

[M_Maldonado]

Hi Youyun,

First time I hear about this Trajectory Miner package. From a quick look to their doc, that seqecmpgroup function identifies discrimiating subsequences using chisquare. Once with the sequences, you can use a decision tree with Chi-square criterion to confirm if certain ruels are specific to certain levels of a factor.

One way to do it would be to use the Association or the Market Basket Analysis nodes, then use a decision tree on the rules.

I hope this helps!

-M

[youyunjupiter]

Hi Miguel, do you mean to do decision tree on scores from AA/MBA, i.e. score ~ function(factors)? I guess the key difference between this way and R function is that R function is able to calculate confidence/lift seperately for different level of factors. However, in SAS EM, it seems difficult to do, especially when start group node doesnt support transaction data. Not sure if I understand correctly...