Titlebook: Business Process Management Forum; BPM 2024 Forum, Krak Andrea Marrella,Manuel Resinas,Michael Rosemann Conference proceedings 2024 The Edi

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T. H. Crook,B. A. Johnson,G. J. Larrabee complexity of DMN models can otherwise quickly make it unfeasible for companies to understand and maintain their decision logic. To this aim, we present a formal approach for measuring the . of decision inputs on the decision output. In particular, we show how the decision logic of a DMN model can

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Evaluating Antidepressants and Anxiolytics event logs as traces, where each trace contains the sequence of events pertaining to a specific process case. A case can, e.g., represent the management of a customer request or the sequence of events from ordering to delivering a product to a customer in online retail businesses. While this approa

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Statistical Issues: Sample Size and Dropoute essential to understand the system’s behavior. This includes temporal relations as well as cardinalities of relationships. Whether a product is produced before or after a customer order, which is essential with respect to lean management, would be an example of a temporal relationship. Conversely,

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T. H. Crook,B. A. Johnson,G. J. Larrabeent. This paper presents NL2ProcessOps, a novel approach leveraging Large Language Models (LLMs) and concepts such as Retrieval Augmented Generation (RAG), agents, and tools for code generation to streamline process deployment operations. The proposed approach is designed to work with textual process

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Statistical Issues: Sample Size and Dropoutn be expressed using concrete modeling languages and then customized at design time into a specific process variant to enact according to particular configuration requirements. Most process family modeling proposals focus on imperative processes, such as extensions of the Business Process Model and

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