So I've been working with Random Forests ( R library is randomForest) and I
curious if Random Forests could be applied to classifying on a real time
basis.  For instance lets say I've scored fraud from a group of
transactions.  If I want to score any new incoming transactions for fraud
could Random Forests be used in that context.  Linear Regression is nice in
that it is very easy to score.

I suppose R could be used as a real time API to load in data, score, then
output results.  Is there any other way with Random Forests?

	[[alternative HTML version deleted]]

