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Works (11)

A Web-Based Modelling Tool for Object-Centric Business Processes

2025 | Book chapter
DOI: 10.1007/978-3-031-79059-1_16
Contributors: Lisa Arnold; Marius Breitmayer; Manfred Reichert
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An Approach for Discovering Data-Driven Object Lifecycle Processes

2024 | Book chapter
DOI: 10.1007/978-3-031-59465-6_15
Contributors: Marius Breitmayer; Lisa Arnold; David Goth; Manfred Reichert
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Permission Analysis for Object-Centric Processes

2024 | Book chapter
DOI: 10.1007/978-3-031-61000-4_2
Contributors: Marius Breitmayer; Lisa Arnold; Manfred Reichert
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Exploring user editing preferences in electronic forms: an empirical study

Information Systems and e-Business Management
2024-03 | Journal article
DOI: 10.1007/s10257-023-00662-y
Contributors: Marius Breitmayer; Lisa Arnold; Michael Winter; Manfred Reichert
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Deriving Event Logs from Legacy Software Systems

2023 | Book chapter
DOI: 10.1007/978-3-031-27815-0_30
Contributors: Marius Breitmayer; Lisa Arnold; Stephan La Rocca; Manfred Reichert
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Monitoring Object-Centric Business Processes: An Empirical Study

2023 | Book chapter
DOI: 10.1007/978-3-031-33080-3_20
Contributors: Lisa Arnold; Marius Breitmayer; Manfred Reichert
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Data-Driven Customization of Object Lifecycle Processes

2023-06-21 | Conference paper
DOI: 10.1109/CBI58679.2023.10187572
Contributors: Marius Breitmayer; Lisa Arnold; Manfred Reichert
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Data-Driven Evolution of Activity Forms in Object- and Process-Aware Information Systems

2022 | Book chapter
DOI: 10.1007/978-3-031-17834-4_11
Contributors: Marius Breitmayer; Lisa Arnold; Manfred Reichert
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Enabling Conformance Checking for Object Lifecycle Processes

2022 | Book chapter
DOI: 10.1007/978-3-031-05760-1_8
Contributors: Marius Breitmayer; Lisa Arnold; Manfred Reichert
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Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

Journal of Medical Internet Research
2020-06-30 | Journal article
DOI: 10.2196/15547
Contributors: Rüdiger Pryss; Winfried Schlee; Burkhard Hoppenstedt; Manfred Reichert; Myra Spiliopoulou; Berthold Langguth; Marius Breitmayer; Thomas Probst
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Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study (Preprint)

2019-07-18 | Other
DOI: 10.2196/preprints.15547
Contributors: Rüdiger Pryss; Winfried Schlee; Burkhard Hoppenstedt; Manfred Reichert; Myra Spiliopoulou; Berthold Langguth; Marius Breitmayer; Thomas Probst
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