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blogs:pub2002:automated_discovery_of_workflow_models_from_hospital_data [2009/05/28 14:12] (current)
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 +====== Automated Discovery of Workflow Models from Hospital Data ======
 +L. Maruster, W.M.P. van der Aalst, A.J.M.M. Weijters, A. van den Bosch, and W. Daelemans\\
 +//In C. Dousson, F. Höppner, and R. Quiniou, editors, Proceedings of the ECAI Workshop on Knowledge Discovery and Spatial Data, pages 32-36, 2002//\\
 +===== Abstract =====
 +Workflow nets, a subclass of Petri nets, are known as attractive models for analysing
 +complex business processes. In a hospital environment,​ for example, the processes
 +show a complex and dynamic behavior, which is difficult to control; the workflow net
 +which models such a complex process provides a good insight into it, and due to its
 +formal representation offers techniques for improved control. We propose a method
 +whose main advantage consists in discovering the workflow Petri nets automatically
 +from process logs. We illustrate the functioning of our method on simulated hospital
 +process logs, containing information about medical actions over time. The results of
 +our experiments indicate that this method is able to discover processes whose
 +underlying models are acyclic and sound WF nets, involving parallel, conditional and
 +sequential constructs. We argue that solutions have to be found for cyclic and free-choice/​non-free-choice workflow nets.
 +===== Links =====
 +{{publications:​Maruster2002c.pdf|Download PDF}} (72 KB)