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I am a student of computer science in Freiburg, Germany and I am looking for more detailed information on ProM's DecisionPointAnalysis plugin. I hope this is the right place for my question...
As I am about to write a thesis on process execution flows, I started looking for a tool which serves my purposes. What I need is a plugin which computes a decision tree from a process model and a log file. Taking the "Insurance" example from \examples\decisionMining\DecisionMinerExampleLog.xml I can apply the "Alpha algorithm plugin" and subsequently the "DecisionPointAnalysis" plugin, I can do a decision point analysis like stated in the online documentation.
However, what I'd like to be able to do is to predict the probable *outcome* (not only the next step) of the process at an arbitary decision point in the model. Let's say, "send approval letter" and "send rejection letter" would be 2 possible end states of the model. If I look now at an arbitary, earlier decision point in the model, is it possible to calculate the probability with which the process will arrive in the state "send approval letter", given all past process executions?
My problem is acutally very similar to what the DecisionPointAnalysis plugin does, however I cannot find a way to get it working with ProM. As I am not very familiar with the tool yet, I don't know whether it offers this functionality or not.