Titlebook: Business Process Management; 11th International C Florian Daniel,Jianmin Wang,Barbara Weber Conference proceedings 2013 Springer-Verlag Ber

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https://doi.org/10.1007/978-3-319-56699-3ty of the resulting event logs are challenging for today’s process mining techniques. This paper focuses on “conformance checking in the large” and presents a novel decomposition technique that partitions larger processes into sets of subprocesses that can be analyzed more easily. The resulting topo

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https://doi.org/10.1007/978-3-319-56699-3, compliance issues have been mainly addressed for intra-organizational business processes, whereas there exists only little work dealing with compliance in the context of cross-organizational processes that involve multiple business partners. As opposed to intra-organizational processes, for a cros

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Overview of Medically Unexplained Symptoms,cts are well supported in current process engines, data dependencies need to be added and maintained manually by a process engineer. Thus, this task is error-prone and time-consuming. In this paper, we address the problem of modeling processes with complex data dependencies, e.g., m:n relationships,

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https://doi.org/10.1007/978-3-030-59181-6 the integration of this real-world data; new services can be provided to customers, or existing business processes can be improved. Events are a well-known concept in business processes. However, there is no appropriate abstraction mechanism to encapsulate event stream processing in units that repr

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