An efficient workcase classification method and tool in workflow mining

This paper conceives a workcase classification method and implements it as a tool so as to be used in workflow mining systems. The method is for resolving the workcase classification problem issued for mining an activity firing or execution sequence of a workcase from monitoring and audit logs. That is, it finally generates a workcase classification decision tree consisting of a minimal set of critical activities to be used for deciding the corresponding researchable-path of the workcases. Why is the method efficient? Because it uses a minimal decision tree in classifying workcases´ reachable-paths. And the tool is a graphical visualizer of the method, and consists of three subsystems used to automatically generate information control net, activity dependency net and minimal activity net through their corresponding algorithms. Especially the method and tool might be an impeccable solution for the specific domain of massively parallel large-scale workflow procedures.