Titlebook: Enterprise, Business-Process and Information Systems Modeling; 24th International C Han van der Aa,Dominik Bork,Rainer Schmidt Conference p

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Toolbox Mathematik für MINT-Studieng?nge of clarity in this matter complicates the correct interpretation of log information. The goal of this paper is therefore to investigate how the concepts of object-centric logging and those for data-aware process modelling may be better aligned. This will facilitate setting up proper logging at syst

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Toolbox Objectives and Key Resultsuse simulated traffic data generated by a predefined business process. The data is annotated for sequence learning to produce models which are used for identifying concurrently performed activities and cases to produce an event log. The event log is conformed against the process models with high fit

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Toolbox für Marketing und Management not be the best suited approach. This paper presents a framework that provides an extended BPMN notation for modeling, executing, and monitoring IoT-driven decision processes. The framework is implemented as a proof-of-concept prototype, a real-world scenario is presented to illustrate its use.

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ISP Tool Update: Scalable MPI Verification,g an already existing framework that integrates some construction rules for guidance. Our approach automatically provides tool support so that method experts can actually execute the method. This paper presents the approach through a proof of concept implementation, and a first empirical evaluation

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Aligning Object-Centric Event Logs with?Data-Centric Conceptual Models of clarity in this matter complicates the correct interpretation of log information. The goal of this paper is therefore to investigate how the concepts of object-centric logging and those for data-aware process modelling may be better aligned. This will facilitate setting up proper logging at syst

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From Network Traffic Data to?a?Business-Level Event Loguse simulated traffic data generated by a predefined business process. The data is annotated for sequence learning to produce models which are used for identifying concurrently performed activities and cases to produce an event log. The event log is conformed against the process models with high fit

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