12. A system for mining a process model, comprising: a mining module configured to a process model from a set of execution traces; a predictive model module configured to learn a predictive model to predict an outcome from the execution traces; and a model refinement module comprising a processor configured to determine whether the process model is too dense or too sparse, to modify the predictive model responsive to said determination, and to trigger the mining module to mine a refined process model from updated traces based on attributes present in the modified predictive model, wherein the model refinement module is configured to make the predictive model more specific if it is determined that the process model is too dense and to making the predictive model more general if it is determined that the process model is too sparse.
12. A system for mining a process model, comprising: a mining module configured to a process model from a set of execution traces; a predictive model module configured to learn a predictive model to predict an outcome from the execution traces; and a model refinement module comprising a processor configured to determine whether the process model is too dense or too sparse, to modify the predictive model responsive to said determination, and to trigger the mining module to mine a refined process model from updated traces based on attributes present in the modified predictive model, wherein the model refinement module is configured to make the predictive model more specific if it is determined that the process model is too dense and to making the predictive model more general if it is determined that the process model is too sparse. 15. The system of claim 12 , wherein the predictive model is represented as a binary decision tree.