I come here to collect some information on these subjects.
I found that in 2008 a student of Mark Proktor (Gizil Oguz ) worked on a
machine learning using drools.
And currently Mark work on a Bayesian approach.
These subjects are really exciting.
Bayesian Belief Network needs to be able to put a probability value on
each event and for this using machine learning is a way to do.
So I would like to know how if they are somewhere a little example which
put all of these good projects in one?
After Gizil Oguz finished his work, we never heard about drools and
machine learning. I would like to know if that is normal ?
Or maybe using weka and drools is better ?
Thanks you everybody, any information on these subject could to be
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