Titlebook: Business Process Management Workshops; BPM 2019 Internation Chiara Di Francescomarino,Remco Dijkman,Uwe Zdun Conference proceedings 2019 Sp

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Integrating IoT with BPM to Provide Value to Cattle Farmers in Australiato generate value through improved decision support. The research is supported by Meat and Livestock Australia (MLA) who represent over 50 000 cattle, sheep and goat producers, Hitachi Consulting as well as individual farming businesses from large corporates to family owned farms. The challenges of

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Enabling the Discovery of Manual Processes Using a Multi-modal Activity Recognition Approachsor data acquired from the Internet of Things. The main objective of this paper is the development and evaluation of an approach which recognizes and logs manually performed activities, enabling the application of established process discovery methods. A system was implemented which uses a body area

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Impact-Aware Conformance Checkingls. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations

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Encoding Conformance Checking Artefacts in SATis paper shows how important conformance artefacts like alignments, anti-alignments or even multi-alignments, defined over the edit distance, can be computed by encoding the problem as a SAT instance. From a general perspective, the work advocates for a unified family of techniques that can compute

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Performance Mining for Batch Processing Using the Performance Spectrumhniques aggregate time-stamped event data to identify bottlenecks or to visualize process performance indicators over time. These aggregation-based techniques are not able to detect and quantify the performance of time-dependent performance patterns such as batches. In this paper, we propose a first

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LIProMa: Label-Independent Process Matchinging techniques analyze process entities and model specific views to highlight points for improvements. A major requirement in most approaches is a common activity space so events can be related directly. However there are instances which do provide multiple activity universes and processes from diff

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https://doi.org/10.1007/978-3-030-37453-2business process management; business process modeling; business process monitoring; business intellige

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978-3-030-37452-5Springer Nature Switzerland AG 2019

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