Table of Contents

Process Mining: Discovering Direct Successors in Process Logs

L. Maruster, A.J.M.M. Weijters, W.M.P. van der Aalst, and A. van den Bosch
In Proceedings of the 5th International Conference on Discovery Science (Discovery Science 2002), volume 2534 of Lecture Notes in Artificial Intelligence, pages 364-373. Springer-Verlag, Berlin, 2002


Workflow management technology requires the existence of explicit process models, i.e. a completely specified workflow design needs to be developed in order to enact a given workflow process. Such a workflow design is time consuming and often subjective and incomplete. We propose a learning method that uses the workflow log, which contains information about the process as it is actually being executed. In our method we will use a logistic regression model to discover the direct connections between events of a realistic not complete workflow log with noise. Experimental results are used to show the usefulness and limitations of the presented method.

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