[rules-users] How to write a Heuristic Knowledge in Drools Expert?

[Davide Sottara]

Predictive models, such as neural networks, support vector machines, cluster
models, decision trees etc can be used in two ways. One is classification:
you take some input data/facts and the model will estimate if this
particular set has a given characteristic or not. 
E.g. given a set of genes, you might want to see if the individual is prone
to suffer from a disease.
You might be more interested in regression/prediction: given a set of input
data/facts, the model will estimate a dependent variable. E.g. given a
sequence of genes, the model will try to predict the next in line. Models
can give probabilities, too. The model would have to be trained with an
external data mining tool, but then could be imported by drools to provide a
runtime execution environment.

Even then, before thinking of the particular implementation, I'd try to
model the problem. Interviewing the domain experts and casting their words
into an organized representation will not be easy, I'm afraid. We can share
thoughts sometimes, if you want/can.
Davide

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