Showing papers by "Laura Maruster published in 2002"
01 Jan 2002
TL;DR: The theoretical results presented in this paper demonstrate that most practical workflow processes fit into the class of workflow processes which can be discovered and the tool MiMo supports the discovery of these processes.
Abstract: Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies between the actual workflow processes and the processes as perceived by the management. Therefore, we have developed techniques for {re)discovering workflow models. Starting point for such techniques are so-called "workflow logs" containing information about the workflow process as it is actually being executed. Unfortunately, it is not possible to {re)discover every workflow process. In this paper we explore the class of workflow processes which can be discovered. The theoretical results presented in this paper demonstrate that most practical workflow processes fit into this class. The tool MiMo, also presented in this paper, supports the {re)discovery of these processes.
86 citations
24 Nov 2002
TL;DR: In this paper, a logistic regression model is used to discover the direct connections between events of a realistic not complete workflow log with noise, which contains information about the process as it is actually being executed.
Abstract: 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.
84 citations
TL;DR: An alternative logistic-driven grouping approach for patients with PAV diseases, which concludes that it is possible to search for medical logistic homogenous groups that can be characterized by rules based on the aggregated logistic variables.
33 citations
Journal Article•
TL;DR: This work proposes a learning method that uses the workflow log, which contains information about the process as it is actually being executed, to discover the direct connections between events of a realistic not complete workflow log with noise.
Abstract: 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.
22 citations