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Article
Computer Science, Artificial Intelligence
Riccardo Galanti et al.
Summary: Object-centric processes are implementations where instances of processes interact with each other through data exchange. The complex associations between process instances pose challenges for predictive analytics. This paper proposes an approach to incorporate object interactions into predictive models and evaluates its effectiveness using real-life data.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jan Niklas Adams et al.
Summary: This paper introduces the concept of "process execution" for object-centric process mining, which is a graph-based generalization of traditional cases. Techniques to extract process executions are provided, and these executions can be used to determine equivalent process behavior and visualize object-centric variants. The scalability and efficiency of the contribution are extensively evaluated, and a case study demonstrates the most frequent variants in a real-life object-centric event log.
2022 4TH INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2022)
(2022)
Proceedings Paper
Business
Adrian Rebmann et al.
Summary: This paper introduces a method for transforming classical event logs into object-centric event logs. The transformation can solve the issue of hidden relationships between objects in classical event logs. By combining semantic analysis, data profiling, and control-flow-based relation extraction techniques, object-related information in flat event data can be automatically uncovered and transformed into object-centric event logs.
BUSINESS PROCESS MANAGEMENT (BPM 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Yannis Bertrand et al.
Summary: Contextualisation is a significant challenge in process mining. This paper proposes a model to bridge the conceptualisation gap between the fields of Internet of Things (IoT) and process mining, defining the necessary concepts and relationships for process mining techniques that consider the physical context. The model is validated through a lifelike process example, showcasing the relationship between IoT data and process events. This conceptualisation can assist practitioners and researchers in both the IoT and process mining communities to utilize IoT data in process mining effectively.
PROCESS MINING WORKSHOPS, ICPM 2021
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Jan Niklas Adams et al.
Summary: This paper introduces the current research status of object-centric process mining and proposes a concept for evaluating model quality. By introducing the precision and fitness concepts of object-centric Petri net, the interactions and dependencies between multiple case notions are studied.
2021 3RD INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2021)
(2021)
Article
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Wil M. P. van der Aalst et al.
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Proceedings Paper
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Riccardo Galanti et al.
2020 2ND INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2020)
(2020)
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Chiara Di Francescomarino et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING
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Johannes De Smedt et al.
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ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2016)
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